Quentin Meeus commited on
Commit
1e16abf
1 Parent(s): 00fc770

Finetune NER+ASR module for 5000 steps with LoRA

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. README.md +104 -0
  2. adapter_config.json +26 -0
  3. adapter_model.safetensors +3 -0
  4. added_tokens.json +1609 -0
  5. all_results.json +15 -0
  6. checkpoint-1000/README.md +204 -0
  7. checkpoint-1000/adapter_config.json +26 -0
  8. checkpoint-1000/adapter_model.safetensors +3 -0
  9. checkpoint-1000/optimizer.pt +3 -0
  10. checkpoint-1000/preprocessor_config.json +14 -0
  11. checkpoint-1000/rng_state.pth +3 -0
  12. checkpoint-1000/scheduler.pt +3 -0
  13. checkpoint-1000/trainer_state.json +136 -0
  14. checkpoint-1000/training_args.bin +3 -0
  15. checkpoint-1200/README.md +204 -0
  16. checkpoint-1200/adapter_config.json +26 -0
  17. checkpoint-1200/adapter_model.safetensors +3 -0
  18. checkpoint-1200/optimizer.pt +3 -0
  19. checkpoint-1200/preprocessor_config.json +14 -0
  20. checkpoint-1200/rng_state.pth +3 -0
  21. checkpoint-1200/scheduler.pt +3 -0
  22. checkpoint-1200/trainer_state.json +159 -0
  23. checkpoint-1200/training_args.bin +3 -0
  24. checkpoint-1400/README.md +204 -0
  25. checkpoint-1400/adapter_config.json +26 -0
  26. checkpoint-1400/adapter_model.safetensors +3 -0
  27. checkpoint-1400/optimizer.pt +3 -0
  28. checkpoint-1400/preprocessor_config.json +14 -0
  29. checkpoint-1400/rng_state.pth +3 -0
  30. checkpoint-1400/scheduler.pt +3 -0
  31. checkpoint-1400/trainer_state.json +182 -0
  32. checkpoint-1400/training_args.bin +3 -0
  33. checkpoint-1600/README.md +204 -0
  34. checkpoint-1600/adapter_config.json +26 -0
  35. checkpoint-1600/adapter_model.safetensors +3 -0
  36. checkpoint-1600/optimizer.pt +3 -0
  37. checkpoint-1600/preprocessor_config.json +14 -0
  38. checkpoint-1600/rng_state.pth +3 -0
  39. checkpoint-1600/scheduler.pt +3 -0
  40. checkpoint-1600/trainer_state.json +205 -0
  41. checkpoint-1600/training_args.bin +3 -0
  42. checkpoint-1800/README.md +204 -0
  43. checkpoint-1800/adapter_config.json +26 -0
  44. checkpoint-1800/adapter_model.safetensors +3 -0
  45. checkpoint-1800/optimizer.pt +3 -0
  46. checkpoint-1800/preprocessor_config.json +14 -0
  47. checkpoint-1800/rng_state.pth +3 -0
  48. checkpoint-1800/scheduler.pt +3 -0
  49. checkpoint-1800/trainer_state.json +228 -0
  50. checkpoint-1800/training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ tags:
4
+ - generated_from_trainer
5
+ base_model: qmeeus/whisper-small-multilingual-spoken-ner-pipeline-step-1
6
+ datasets:
7
+ - facebook/voxpopuli
8
+ metrics:
9
+ - wer
10
+ model-index:
11
+ - name: WhisperForSpokenNER
12
+ results:
13
+ - task:
14
+ type: automatic-speech-recognition
15
+ name: Automatic Speech Recognition
16
+ dataset:
17
+ name: facebook/voxpopuli
18
+ type: facebook/voxpopuli
19
+ split: de+es+fr+nl
20
+ metrics:
21
+ - type: wer
22
+ value: 0.09799520086694016
23
+ name: Wer
24
+ ---
25
+
26
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
27
+ should probably proofread and complete it, then remove this comment. -->
28
+
29
+ # WhisperForSpokenNER
30
+
31
+ This model is a fine-tuned version of [/esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner](https://huggingface.co//esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner) on the facebook/voxpopuli de+es+fr+nl dataset.
32
+ It achieves the following results on the evaluation set:
33
+ - Loss: 0.2264
34
+ - F1 Score: 0.6872
35
+ - Label F1: 0.8325
36
+ - Wer: 0.0980
37
+
38
+ ## Model description
39
+
40
+ More information needed
41
+
42
+ ## Intended uses & limitations
43
+
44
+ More information needed
45
+
46
+ ## Training and evaluation data
47
+
48
+ More information needed
49
+
50
+ ## Training procedure
51
+
52
+ ### Training hyperparameters
53
+
54
+ The following hyperparameters were used during training:
55
+ - learning_rate: 5e-05
56
+ - train_batch_size: 4
57
+ - eval_batch_size: 8
58
+ - seed: 42
59
+ - gradient_accumulation_steps: 32
60
+ - total_train_batch_size: 128
61
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
+ - lr_scheduler_type: cosine
63
+ - lr_scheduler_warmup_steps: 100
64
+ - training_steps: 5000
65
+ - mixed_precision_training: Native AMP
66
+
67
+ ### Training results
68
+
69
+ | Training Loss | Epoch | Step | Validation Loss | F1 Score | Label F1 | Wer |
70
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------:|
71
+ | 0.2746 | 0.36 | 200 | 0.2602 | 0.6565 | 0.8343 | 0.1090 |
72
+ | 0.2481 | 0.71 | 400 | 0.2465 | 0.6578 | 0.8348 | 0.1022 |
73
+ | 0.2385 | 1.07 | 600 | 0.2410 | 0.6685 | 0.8323 | 0.1048 |
74
+ | 0.2316 | 1.43 | 800 | 0.2374 | 0.6724 | 0.8317 | 0.1022 |
75
+ | 0.2291 | 1.79 | 1000 | 0.2348 | 0.6698 | 0.8292 | 0.0968 |
76
+ | 0.2205 | 2.14 | 1200 | 0.2334 | 0.6745 | 0.8339 | 0.0964 |
77
+ | 0.2211 | 2.5 | 1400 | 0.2319 | 0.6729 | 0.8327 | 0.0961 |
78
+ | 0.2163 | 2.86 | 1600 | 0.2305 | 0.6732 | 0.8300 | 0.0981 |
79
+ | 0.2108 | 3.22 | 1800 | 0.2299 | 0.6734 | 0.8328 | 0.0954 |
80
+ | 0.2104 | 3.57 | 2000 | 0.2297 | 0.6792 | 0.8369 | 0.0992 |
81
+ | 0.2124 | 3.93 | 2200 | 0.2279 | 0.6782 | 0.8346 | 0.0945 |
82
+ | 0.2027 | 4.29 | 2400 | 0.2279 | 0.6790 | 0.8336 | 0.0944 |
83
+ | 0.2055 | 4.65 | 2600 | 0.2275 | 0.6832 | 0.8347 | 0.0949 |
84
+ | 0.209 | 5.0 | 2800 | 0.2269 | 0.6822 | 0.8336 | 0.0983 |
85
+ | 0.2017 | 5.36 | 3000 | 0.2272 | 0.6835 | 0.8346 | 0.0979 |
86
+ | 0.2029 | 5.72 | 3200 | 0.2266 | 0.6819 | 0.8321 | 0.0966 |
87
+ | 0.201 | 6.08 | 3400 | 0.2266 | 0.6800 | 0.8327 | 0.0978 |
88
+ | 0.1985 | 6.43 | 3600 | 0.2267 | 0.6856 | 0.8335 | 0.0995 |
89
+ | 0.1996 | 6.79 | 3800 | 0.2265 | 0.6864 | 0.8343 | 0.0988 |
90
+ | 0.197 | 7.15 | 4000 | 0.2264 | 0.6843 | 0.8347 | 0.0986 |
91
+ | 0.1985 | 7.51 | 4200 | 0.2264 | 0.6838 | 0.8352 | 0.0985 |
92
+ | 0.1999 | 7.86 | 4400 | 0.2263 | 0.6861 | 0.8346 | 0.0978 |
93
+ | 0.1963 | 8.22 | 4600 | 0.2264 | 0.6864 | 0.8318 | 0.0978 |
94
+ | 0.1977 | 8.58 | 4800 | 0.2264 | 0.6875 | 0.8329 | 0.0979 |
95
+ | 0.1961 | 8.94 | 5000 | 0.2264 | 0.6872 | 0.8325 | 0.0980 |
96
+
97
+
98
+ ### Framework versions
99
+
100
+ - PEFT 0.7.1.dev0
101
+ - Transformers 4.37.0.dev0
102
+ - Pytorch 2.1.0
103
+ - Datasets 2.14.6
104
+ - Tokenizers 0.14.1
adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "WhisperSLU",
5
+ "parent_library": "whisper_slu.modeling_whisper_slu"
6
+ },
7
+ "base_model_name_or_path": "/esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 32,
16
+ "lora_dropout": 0.1,
17
+ "megatron_config": null,
18
+ "megatron_core": "megatron.core",
19
+ "modules_to_save": [],
20
+ "peft_type": "LORA",
21
+ "r": 8,
22
+ "rank_pattern": {},
23
+ "revision": null,
24
+ "target_modules": ".*(decoder|classifier).*.(k_proj|q_proj|v_proj|out_proj|fc1|fc2)",
25
+ "task_type": null
26
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7123781e5f7e88d09ded4c1f90d2c7a1bf61cc3e388b8fc2d6c59d4e1d8b393a
3
+ size 8483432
added_tokens.json ADDED
@@ -0,0 +1,1609 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "<|0.00|>": 50364,
3
+ "<|0.02|>": 50365,
4
+ "<|0.04|>": 50366,
5
+ "<|0.06|>": 50367,
6
+ "<|0.08|>": 50368,
7
+ "<|0.10|>": 50369,
8
+ "<|0.12|>": 50370,
9
+ "<|0.14|>": 50371,
10
+ "<|0.16|>": 50372,
11
+ "<|0.18|>": 50373,
12
+ "<|0.20|>": 50374,
13
+ "<|0.22|>": 50375,
14
+ "<|0.24|>": 50376,
15
+ "<|0.26|>": 50377,
16
+ "<|0.28|>": 50378,
17
+ "<|0.30|>": 50379,
18
+ "<|0.32|>": 50380,
19
+ "<|0.34|>": 50381,
20
+ "<|0.36|>": 50382,
21
+ "<|0.38|>": 50383,
22
+ "<|0.40|>": 50384,
23
+ "<|0.42|>": 50385,
24
+ "<|0.44|>": 50386,
25
+ "<|0.46|>": 50387,
26
+ "<|0.48|>": 50388,
27
+ "<|0.50|>": 50389,
28
+ "<|0.52|>": 50390,
29
+ "<|0.54|>": 50391,
30
+ "<|0.56|>": 50392,
31
+ "<|0.58|>": 50393,
32
+ "<|0.60|>": 50394,
33
+ "<|0.62|>": 50395,
34
+ "<|0.64|>": 50396,
35
+ "<|0.66|>": 50397,
36
+ "<|0.68|>": 50398,
37
+ "<|0.70|>": 50399,
38
+ "<|0.72|>": 50400,
39
+ "<|0.74|>": 50401,
40
+ "<|0.76|>": 50402,
41
+ "<|0.78|>": 50403,
42
+ "<|0.80|>": 50404,
43
+ "<|0.82|>": 50405,
44
+ "<|0.84|>": 50406,
45
+ "<|0.86|>": 50407,
46
+ "<|0.88|>": 50408,
47
+ "<|0.90|>": 50409,
48
+ "<|0.92|>": 50410,
49
+ "<|0.94|>": 50411,
50
+ "<|0.96|>": 50412,
51
+ "<|0.98|>": 50413,
52
+ "<|1.00|>": 50414,
53
+ "<|1.02|>": 50415,
54
+ "<|1.04|>": 50416,
55
+ "<|1.06|>": 50417,
56
+ "<|1.08|>": 50418,
57
+ "<|1.10|>": 50419,
58
+ "<|1.12|>": 50420,
59
+ "<|1.14|>": 50421,
60
+ "<|1.16|>": 50422,
61
+ "<|1.18|>": 50423,
62
+ "<|1.20|>": 50424,
63
+ "<|1.22|>": 50425,
64
+ "<|1.24|>": 50426,
65
+ "<|1.26|>": 50427,
66
+ "<|1.28|>": 50428,
67
+ "<|1.30|>": 50429,
68
+ "<|1.32|>": 50430,
69
+ "<|1.34|>": 50431,
70
+ "<|1.36|>": 50432,
71
+ "<|1.38|>": 50433,
72
+ "<|1.40|>": 50434,
73
+ "<|1.42|>": 50435,
74
+ "<|1.44|>": 50436,
75
+ "<|1.46|>": 50437,
76
+ "<|1.48|>": 50438,
77
+ "<|1.50|>": 50439,
78
+ "<|1.52|>": 50440,
79
+ "<|1.54|>": 50441,
80
+ "<|1.56|>": 50442,
81
+ "<|1.58|>": 50443,
82
+ "<|1.60|>": 50444,
83
+ "<|1.62|>": 50445,
84
+ "<|1.64|>": 50446,
85
+ "<|1.66|>": 50447,
86
+ "<|1.68|>": 50448,
87
+ "<|1.70|>": 50449,
88
+ "<|1.72|>": 50450,
89
+ "<|1.74|>": 50451,
90
+ "<|1.76|>": 50452,
91
+ "<|1.78|>": 50453,
92
+ "<|1.80|>": 50454,
93
+ "<|1.82|>": 50455,
94
+ "<|1.84|>": 50456,
95
+ "<|1.86|>": 50457,
96
+ "<|1.88|>": 50458,
97
+ "<|1.90|>": 50459,
98
+ "<|1.92|>": 50460,
99
+ "<|1.94|>": 50461,
100
+ "<|1.96|>": 50462,
101
+ "<|1.98|>": 50463,
102
+ "<|10.00|>": 50864,
103
+ "<|10.02|>": 50865,
104
+ "<|10.04|>": 50866,
105
+ "<|10.06|>": 50867,
106
+ "<|10.08|>": 50868,
107
+ "<|10.10|>": 50869,
108
+ "<|10.12|>": 50870,
109
+ "<|10.14|>": 50871,
110
+ "<|10.16|>": 50872,
111
+ "<|10.18|>": 50873,
112
+ "<|10.20|>": 50874,
113
+ "<|10.22|>": 50875,
114
+ "<|10.24|>": 50876,
115
+ "<|10.26|>": 50877,
116
+ "<|10.28|>": 50878,
117
+ "<|10.30|>": 50879,
118
+ "<|10.32|>": 50880,
119
+ "<|10.34|>": 50881,
120
+ "<|10.36|>": 50882,
121
+ "<|10.38|>": 50883,
122
+ "<|10.40|>": 50884,
123
+ "<|10.42|>": 50885,
124
+ "<|10.44|>": 50886,
125
+ "<|10.46|>": 50887,
126
+ "<|10.48|>": 50888,
127
+ "<|10.50|>": 50889,
128
+ "<|10.52|>": 50890,
129
+ "<|10.54|>": 50891,
130
+ "<|10.56|>": 50892,
131
+ "<|10.58|>": 50893,
132
+ "<|10.60|>": 50894,
133
+ "<|10.62|>": 50895,
134
+ "<|10.64|>": 50896,
135
+ "<|10.66|>": 50897,
136
+ "<|10.68|>": 50898,
137
+ "<|10.70|>": 50899,
138
+ "<|10.72|>": 50900,
139
+ "<|10.74|>": 50901,
140
+ "<|10.76|>": 50902,
141
+ "<|10.78|>": 50903,
142
+ "<|10.80|>": 50904,
143
+ "<|10.82|>": 50905,
144
+ "<|10.84|>": 50906,
145
+ "<|10.86|>": 50907,
146
+ "<|10.88|>": 50908,
147
+ "<|10.90|>": 50909,
148
+ "<|10.92|>": 50910,
149
+ "<|10.94|>": 50911,
150
+ "<|10.96|>": 50912,
151
+ "<|10.98|>": 50913,
152
+ "<|11.00|>": 50914,
153
+ "<|11.02|>": 50915,
154
+ "<|11.04|>": 50916,
155
+ "<|11.06|>": 50917,
156
+ "<|11.08|>": 50918,
157
+ "<|11.10|>": 50919,
158
+ "<|11.12|>": 50920,
159
+ "<|11.14|>": 50921,
160
+ "<|11.16|>": 50922,
161
+ "<|11.18|>": 50923,
162
+ "<|11.20|>": 50924,
163
+ "<|11.22|>": 50925,
164
+ "<|11.24|>": 50926,
165
+ "<|11.26|>": 50927,
166
+ "<|11.28|>": 50928,
167
+ "<|11.30|>": 50929,
168
+ "<|11.32|>": 50930,
169
+ "<|11.34|>": 50931,
170
+ "<|11.36|>": 50932,
171
+ "<|11.38|>": 50933,
172
+ "<|11.40|>": 50934,
173
+ "<|11.42|>": 50935,
174
+ "<|11.44|>": 50936,
175
+ "<|11.46|>": 50937,
176
+ "<|11.48|>": 50938,
177
+ "<|11.50|>": 50939,
178
+ "<|11.52|>": 50940,
179
+ "<|11.54|>": 50941,
180
+ "<|11.56|>": 50942,
181
+ "<|11.58|>": 50943,
182
+ "<|11.60|>": 50944,
183
+ "<|11.62|>": 50945,
184
+ "<|11.64|>": 50946,
185
+ "<|11.66|>": 50947,
186
+ "<|11.68|>": 50948,
187
+ "<|11.70|>": 50949,
188
+ "<|11.72|>": 50950,
189
+ "<|11.74|>": 50951,
190
+ "<|11.76|>": 50952,
191
+ "<|11.78|>": 50953,
192
+ "<|11.80|>": 50954,
193
+ "<|11.82|>": 50955,
194
+ "<|11.84|>": 50956,
195
+ "<|11.86|>": 50957,
196
+ "<|11.88|>": 50958,
197
+ "<|11.90|>": 50959,
198
+ "<|11.92|>": 50960,
199
+ "<|11.94|>": 50961,
200
+ "<|11.96|>": 50962,
201
+ "<|11.98|>": 50963,
202
+ "<|12.00|>": 50964,
203
+ "<|12.02|>": 50965,
204
+ "<|12.04|>": 50966,
205
+ "<|12.06|>": 50967,
206
+ "<|12.08|>": 50968,
207
+ "<|12.10|>": 50969,
208
+ "<|12.12|>": 50970,
209
+ "<|12.14|>": 50971,
210
+ "<|12.16|>": 50972,
211
+ "<|12.18|>": 50973,
212
+ "<|12.20|>": 50974,
213
+ "<|12.22|>": 50975,
214
+ "<|12.24|>": 50976,
215
+ "<|12.26|>": 50977,
216
+ "<|12.28|>": 50978,
217
+ "<|12.30|>": 50979,
218
+ "<|12.32|>": 50980,
219
+ "<|12.34|>": 50981,
220
+ "<|12.36|>": 50982,
221
+ "<|12.38|>": 50983,
222
+ "<|12.40|>": 50984,
223
+ "<|12.42|>": 50985,
224
+ "<|12.44|>": 50986,
225
+ "<|12.46|>": 50987,
226
+ "<|12.48|>": 50988,
227
+ "<|12.50|>": 50989,
228
+ "<|12.52|>": 50990,
229
+ "<|12.54|>": 50991,
230
+ "<|12.56|>": 50992,
231
+ "<|12.58|>": 50993,
232
+ "<|12.60|>": 50994,
233
+ "<|12.62|>": 50995,
234
+ "<|12.64|>": 50996,
235
+ "<|12.66|>": 50997,
236
+ "<|12.68|>": 50998,
237
+ "<|12.70|>": 50999,
238
+ "<|12.72|>": 51000,
239
+ "<|12.74|>": 51001,
240
+ "<|12.76|>": 51002,
241
+ "<|12.78|>": 51003,
242
+ "<|12.80|>": 51004,
243
+ "<|12.82|>": 51005,
244
+ "<|12.84|>": 51006,
245
+ "<|12.86|>": 51007,
246
+ "<|12.88|>": 51008,
247
+ "<|12.90|>": 51009,
248
+ "<|12.92|>": 51010,
249
+ "<|12.94|>": 51011,
250
+ "<|12.96|>": 51012,
251
+ "<|12.98|>": 51013,
252
+ "<|13.00|>": 51014,
253
+ "<|13.02|>": 51015,
254
+ "<|13.04|>": 51016,
255
+ "<|13.06|>": 51017,
256
+ "<|13.08|>": 51018,
257
+ "<|13.10|>": 51019,
258
+ "<|13.12|>": 51020,
259
+ "<|13.14|>": 51021,
260
+ "<|13.16|>": 51022,
261
+ "<|13.18|>": 51023,
262
+ "<|13.20|>": 51024,
263
+ "<|13.22|>": 51025,
264
+ "<|13.24|>": 51026,
265
+ "<|13.26|>": 51027,
266
+ "<|13.28|>": 51028,
267
+ "<|13.30|>": 51029,
268
+ "<|13.32|>": 51030,
269
+ "<|13.34|>": 51031,
270
+ "<|13.36|>": 51032,
271
+ "<|13.38|>": 51033,
272
+ "<|13.40|>": 51034,
273
+ "<|13.42|>": 51035,
274
+ "<|13.44|>": 51036,
275
+ "<|13.46|>": 51037,
276
+ "<|13.48|>": 51038,
277
+ "<|13.50|>": 51039,
278
+ "<|13.52|>": 51040,
279
+ "<|13.54|>": 51041,
280
+ "<|13.56|>": 51042,
281
+ "<|13.58|>": 51043,
282
+ "<|13.60|>": 51044,
283
+ "<|13.62|>": 51045,
284
+ "<|13.64|>": 51046,
285
+ "<|13.66|>": 51047,
286
+ "<|13.68|>": 51048,
287
+ "<|13.70|>": 51049,
288
+ "<|13.72|>": 51050,
289
+ "<|13.74|>": 51051,
290
+ "<|13.76|>": 51052,
291
+ "<|13.78|>": 51053,
292
+ "<|13.80|>": 51054,
293
+ "<|13.82|>": 51055,
294
+ "<|13.84|>": 51056,
295
+ "<|13.86|>": 51057,
296
+ "<|13.88|>": 51058,
297
+ "<|13.90|>": 51059,
298
+ "<|13.92|>": 51060,
299
+ "<|13.94|>": 51061,
300
+ "<|13.96|>": 51062,
301
+ "<|13.98|>": 51063,
302
+ "<|14.00|>": 51064,
303
+ "<|14.02|>": 51065,
304
+ "<|14.04|>": 51066,
305
+ "<|14.06|>": 51067,
306
+ "<|14.08|>": 51068,
307
+ "<|14.10|>": 51069,
308
+ "<|14.12|>": 51070,
309
+ "<|14.14|>": 51071,
310
+ "<|14.16|>": 51072,
311
+ "<|14.18|>": 51073,
312
+ "<|14.20|>": 51074,
313
+ "<|14.22|>": 51075,
314
+ "<|14.24|>": 51076,
315
+ "<|14.26|>": 51077,
316
+ "<|14.28|>": 51078,
317
+ "<|14.30|>": 51079,
318
+ "<|14.32|>": 51080,
319
+ "<|14.34|>": 51081,
320
+ "<|14.36|>": 51082,
321
+ "<|14.38|>": 51083,
322
+ "<|14.40|>": 51084,
323
+ "<|14.42|>": 51085,
324
+ "<|14.44|>": 51086,
325
+ "<|14.46|>": 51087,
326
+ "<|14.48|>": 51088,
327
+ "<|14.50|>": 51089,
328
+ "<|14.52|>": 51090,
329
+ "<|14.54|>": 51091,
330
+ "<|14.56|>": 51092,
331
+ "<|14.58|>": 51093,
332
+ "<|14.60|>": 51094,
333
+ "<|14.62|>": 51095,
334
+ "<|14.64|>": 51096,
335
+ "<|14.66|>": 51097,
336
+ "<|14.68|>": 51098,
337
+ "<|14.70|>": 51099,
338
+ "<|14.72|>": 51100,
339
+ "<|14.74|>": 51101,
340
+ "<|14.76|>": 51102,
341
+ "<|14.78|>": 51103,
342
+ "<|14.80|>": 51104,
343
+ "<|14.82|>": 51105,
344
+ "<|14.84|>": 51106,
345
+ "<|14.86|>": 51107,
346
+ "<|14.88|>": 51108,
347
+ "<|14.90|>": 51109,
348
+ "<|14.92|>": 51110,
349
+ "<|14.94|>": 51111,
350
+ "<|14.96|>": 51112,
351
+ "<|14.98|>": 51113,
352
+ "<|15.00|>": 51114,
353
+ "<|15.02|>": 51115,
354
+ "<|15.04|>": 51116,
355
+ "<|15.06|>": 51117,
356
+ "<|15.08|>": 51118,
357
+ "<|15.10|>": 51119,
358
+ "<|15.12|>": 51120,
359
+ "<|15.14|>": 51121,
360
+ "<|15.16|>": 51122,
361
+ "<|15.18|>": 51123,
362
+ "<|15.20|>": 51124,
363
+ "<|15.22|>": 51125,
364
+ "<|15.24|>": 51126,
365
+ "<|15.26|>": 51127,
366
+ "<|15.28|>": 51128,
367
+ "<|15.30|>": 51129,
368
+ "<|15.32|>": 51130,
369
+ "<|15.34|>": 51131,
370
+ "<|15.36|>": 51132,
371
+ "<|15.38|>": 51133,
372
+ "<|15.40|>": 51134,
373
+ "<|15.42|>": 51135,
374
+ "<|15.44|>": 51136,
375
+ "<|15.46|>": 51137,
376
+ "<|15.48|>": 51138,
377
+ "<|15.50|>": 51139,
378
+ "<|15.52|>": 51140,
379
+ "<|15.54|>": 51141,
380
+ "<|15.56|>": 51142,
381
+ "<|15.58|>": 51143,
382
+ "<|15.60|>": 51144,
383
+ "<|15.62|>": 51145,
384
+ "<|15.64|>": 51146,
385
+ "<|15.66|>": 51147,
386
+ "<|15.68|>": 51148,
387
+ "<|15.70|>": 51149,
388
+ "<|15.72|>": 51150,
389
+ "<|15.74|>": 51151,
390
+ "<|15.76|>": 51152,
391
+ "<|15.78|>": 51153,
392
+ "<|15.80|>": 51154,
393
+ "<|15.82|>": 51155,
394
+ "<|15.84|>": 51156,
395
+ "<|15.86|>": 51157,
396
+ "<|15.88|>": 51158,
397
+ "<|15.90|>": 51159,
398
+ "<|15.92|>": 51160,
399
+ "<|15.94|>": 51161,
400
+ "<|15.96|>": 51162,
401
+ "<|15.98|>": 51163,
402
+ "<|16.00|>": 51164,
403
+ "<|16.02|>": 51165,
404
+ "<|16.04|>": 51166,
405
+ "<|16.06|>": 51167,
406
+ "<|16.08|>": 51168,
407
+ "<|16.10|>": 51169,
408
+ "<|16.12|>": 51170,
409
+ "<|16.14|>": 51171,
410
+ "<|16.16|>": 51172,
411
+ "<|16.18|>": 51173,
412
+ "<|16.20|>": 51174,
413
+ "<|16.22|>": 51175,
414
+ "<|16.24|>": 51176,
415
+ "<|16.26|>": 51177,
416
+ "<|16.28|>": 51178,
417
+ "<|16.30|>": 51179,
418
+ "<|16.32|>": 51180,
419
+ "<|16.34|>": 51181,
420
+ "<|16.36|>": 51182,
421
+ "<|16.38|>": 51183,
422
+ "<|16.40|>": 51184,
423
+ "<|16.42|>": 51185,
424
+ "<|16.44|>": 51186,
425
+ "<|16.46|>": 51187,
426
+ "<|16.48|>": 51188,
427
+ "<|16.50|>": 51189,
428
+ "<|16.52|>": 51190,
429
+ "<|16.54|>": 51191,
430
+ "<|16.56|>": 51192,
431
+ "<|16.58|>": 51193,
432
+ "<|16.60|>": 51194,
433
+ "<|16.62|>": 51195,
434
+ "<|16.64|>": 51196,
435
+ "<|16.66|>": 51197,
436
+ "<|16.68|>": 51198,
437
+ "<|16.70|>": 51199,
438
+ "<|16.72|>": 51200,
439
+ "<|16.74|>": 51201,
440
+ "<|16.76|>": 51202,
441
+ "<|16.78|>": 51203,
442
+ "<|16.80|>": 51204,
443
+ "<|16.82|>": 51205,
444
+ "<|16.84|>": 51206,
445
+ "<|16.86|>": 51207,
446
+ "<|16.88|>": 51208,
447
+ "<|16.90|>": 51209,
448
+ "<|16.92|>": 51210,
449
+ "<|16.94|>": 51211,
450
+ "<|16.96|>": 51212,
451
+ "<|16.98|>": 51213,
452
+ "<|17.00|>": 51214,
453
+ "<|17.02|>": 51215,
454
+ "<|17.04|>": 51216,
455
+ "<|17.06|>": 51217,
456
+ "<|17.08|>": 51218,
457
+ "<|17.10|>": 51219,
458
+ "<|17.12|>": 51220,
459
+ "<|17.14|>": 51221,
460
+ "<|17.16|>": 51222,
461
+ "<|17.18|>": 51223,
462
+ "<|17.20|>": 51224,
463
+ "<|17.22|>": 51225,
464
+ "<|17.24|>": 51226,
465
+ "<|17.26|>": 51227,
466
+ "<|17.28|>": 51228,
467
+ "<|17.30|>": 51229,
468
+ "<|17.32|>": 51230,
469
+ "<|17.34|>": 51231,
470
+ "<|17.36|>": 51232,
471
+ "<|17.38|>": 51233,
472
+ "<|17.40|>": 51234,
473
+ "<|17.42|>": 51235,
474
+ "<|17.44|>": 51236,
475
+ "<|17.46|>": 51237,
476
+ "<|17.48|>": 51238,
477
+ "<|17.50|>": 51239,
478
+ "<|17.52|>": 51240,
479
+ "<|17.54|>": 51241,
480
+ "<|17.56|>": 51242,
481
+ "<|17.58|>": 51243,
482
+ "<|17.60|>": 51244,
483
+ "<|17.62|>": 51245,
484
+ "<|17.64|>": 51246,
485
+ "<|17.66|>": 51247,
486
+ "<|17.68|>": 51248,
487
+ "<|17.70|>": 51249,
488
+ "<|17.72|>": 51250,
489
+ "<|17.74|>": 51251,
490
+ "<|17.76|>": 51252,
491
+ "<|17.78|>": 51253,
492
+ "<|17.80|>": 51254,
493
+ "<|17.82|>": 51255,
494
+ "<|17.84|>": 51256,
495
+ "<|17.86|>": 51257,
496
+ "<|17.88|>": 51258,
497
+ "<|17.90|>": 51259,
498
+ "<|17.92|>": 51260,
499
+ "<|17.94|>": 51261,
500
+ "<|17.96|>": 51262,
501
+ "<|17.98|>": 51263,
502
+ "<|18.00|>": 51264,
503
+ "<|18.02|>": 51265,
504
+ "<|18.04|>": 51266,
505
+ "<|18.06|>": 51267,
506
+ "<|18.08|>": 51268,
507
+ "<|18.10|>": 51269,
508
+ "<|18.12|>": 51270,
509
+ "<|18.14|>": 51271,
510
+ "<|18.16|>": 51272,
511
+ "<|18.18|>": 51273,
512
+ "<|18.20|>": 51274,
513
+ "<|18.22|>": 51275,
514
+ "<|18.24|>": 51276,
515
+ "<|18.26|>": 51277,
516
+ "<|18.28|>": 51278,
517
+ "<|18.30|>": 51279,
518
+ "<|18.32|>": 51280,
519
+ "<|18.34|>": 51281,
520
+ "<|18.36|>": 51282,
521
+ "<|18.38|>": 51283,
522
+ "<|18.40|>": 51284,
523
+ "<|18.42|>": 51285,
524
+ "<|18.44|>": 51286,
525
+ "<|18.46|>": 51287,
526
+ "<|18.48|>": 51288,
527
+ "<|18.50|>": 51289,
528
+ "<|18.52|>": 51290,
529
+ "<|18.54|>": 51291,
530
+ "<|18.56|>": 51292,
531
+ "<|18.58|>": 51293,
532
+ "<|18.60|>": 51294,
533
+ "<|18.62|>": 51295,
534
+ "<|18.64|>": 51296,
535
+ "<|18.66|>": 51297,
536
+ "<|18.68|>": 51298,
537
+ "<|18.70|>": 51299,
538
+ "<|18.72|>": 51300,
539
+ "<|18.74|>": 51301,
540
+ "<|18.76|>": 51302,
541
+ "<|18.78|>": 51303,
542
+ "<|18.80|>": 51304,
543
+ "<|18.82|>": 51305,
544
+ "<|18.84|>": 51306,
545
+ "<|18.86|>": 51307,
546
+ "<|18.88|>": 51308,
547
+ "<|18.90|>": 51309,
548
+ "<|18.92|>": 51310,
549
+ "<|18.94|>": 51311,
550
+ "<|18.96|>": 51312,
551
+ "<|18.98|>": 51313,
552
+ "<|19.00|>": 51314,
553
+ "<|19.02|>": 51315,
554
+ "<|19.04|>": 51316,
555
+ "<|19.06|>": 51317,
556
+ "<|19.08|>": 51318,
557
+ "<|19.10|>": 51319,
558
+ "<|19.12|>": 51320,
559
+ "<|19.14|>": 51321,
560
+ "<|19.16|>": 51322,
561
+ "<|19.18|>": 51323,
562
+ "<|19.20|>": 51324,
563
+ "<|19.22|>": 51325,
564
+ "<|19.24|>": 51326,
565
+ "<|19.26|>": 51327,
566
+ "<|19.28|>": 51328,
567
+ "<|19.30|>": 51329,
568
+ "<|19.32|>": 51330,
569
+ "<|19.34|>": 51331,
570
+ "<|19.36|>": 51332,
571
+ "<|19.38|>": 51333,
572
+ "<|19.40|>": 51334,
573
+ "<|19.42|>": 51335,
574
+ "<|19.44|>": 51336,
575
+ "<|19.46|>": 51337,
576
+ "<|19.48|>": 51338,
577
+ "<|19.50|>": 51339,
578
+ "<|19.52|>": 51340,
579
+ "<|19.54|>": 51341,
580
+ "<|19.56|>": 51342,
581
+ "<|19.58|>": 51343,
582
+ "<|19.60|>": 51344,
583
+ "<|19.62|>": 51345,
584
+ "<|19.64|>": 51346,
585
+ "<|19.66|>": 51347,
586
+ "<|19.68|>": 51348,
587
+ "<|19.70|>": 51349,
588
+ "<|19.72|>": 51350,
589
+ "<|19.74|>": 51351,
590
+ "<|19.76|>": 51352,
591
+ "<|19.78|>": 51353,
592
+ "<|19.80|>": 51354,
593
+ "<|19.82|>": 51355,
594
+ "<|19.84|>": 51356,
595
+ "<|19.86|>": 51357,
596
+ "<|19.88|>": 51358,
597
+ "<|19.90|>": 51359,
598
+ "<|19.92|>": 51360,
599
+ "<|19.94|>": 51361,
600
+ "<|19.96|>": 51362,
601
+ "<|19.98|>": 51363,
602
+ "<|2.00|>": 50464,
603
+ "<|2.02|>": 50465,
604
+ "<|2.04|>": 50466,
605
+ "<|2.06|>": 50467,
606
+ "<|2.08|>": 50468,
607
+ "<|2.10|>": 50469,
608
+ "<|2.12|>": 50470,
609
+ "<|2.14|>": 50471,
610
+ "<|2.16|>": 50472,
611
+ "<|2.18|>": 50473,
612
+ "<|2.20|>": 50474,
613
+ "<|2.22|>": 50475,
614
+ "<|2.24|>": 50476,
615
+ "<|2.26|>": 50477,
616
+ "<|2.28|>": 50478,
617
+ "<|2.30|>": 50479,
618
+ "<|2.32|>": 50480,
619
+ "<|2.34|>": 50481,
620
+ "<|2.36|>": 50482,
621
+ "<|2.38|>": 50483,
622
+ "<|2.40|>": 50484,
623
+ "<|2.42|>": 50485,
624
+ "<|2.44|>": 50486,
625
+ "<|2.46|>": 50487,
626
+ "<|2.48|>": 50488,
627
+ "<|2.50|>": 50489,
628
+ "<|2.52|>": 50490,
629
+ "<|2.54|>": 50491,
630
+ "<|2.56|>": 50492,
631
+ "<|2.58|>": 50493,
632
+ "<|2.60|>": 50494,
633
+ "<|2.62|>": 50495,
634
+ "<|2.64|>": 50496,
635
+ "<|2.66|>": 50497,
636
+ "<|2.68|>": 50498,
637
+ "<|2.70|>": 50499,
638
+ "<|2.72|>": 50500,
639
+ "<|2.74|>": 50501,
640
+ "<|2.76|>": 50502,
641
+ "<|2.78|>": 50503,
642
+ "<|2.80|>": 50504,
643
+ "<|2.82|>": 50505,
644
+ "<|2.84|>": 50506,
645
+ "<|2.86|>": 50507,
646
+ "<|2.88|>": 50508,
647
+ "<|2.90|>": 50509,
648
+ "<|2.92|>": 50510,
649
+ "<|2.94|>": 50511,
650
+ "<|2.96|>": 50512,
651
+ "<|2.98|>": 50513,
652
+ "<|20.00|>": 51364,
653
+ "<|20.02|>": 51365,
654
+ "<|20.04|>": 51366,
655
+ "<|20.06|>": 51367,
656
+ "<|20.08|>": 51368,
657
+ "<|20.10|>": 51369,
658
+ "<|20.12|>": 51370,
659
+ "<|20.14|>": 51371,
660
+ "<|20.16|>": 51372,
661
+ "<|20.18|>": 51373,
662
+ "<|20.20|>": 51374,
663
+ "<|20.22|>": 51375,
664
+ "<|20.24|>": 51376,
665
+ "<|20.26|>": 51377,
666
+ "<|20.28|>": 51378,
667
+ "<|20.30|>": 51379,
668
+ "<|20.32|>": 51380,
669
+ "<|20.34|>": 51381,
670
+ "<|20.36|>": 51382,
671
+ "<|20.38|>": 51383,
672
+ "<|20.40|>": 51384,
673
+ "<|20.42|>": 51385,
674
+ "<|20.44|>": 51386,
675
+ "<|20.46|>": 51387,
676
+ "<|20.48|>": 51388,
677
+ "<|20.50|>": 51389,
678
+ "<|20.52|>": 51390,
679
+ "<|20.54|>": 51391,
680
+ "<|20.56|>": 51392,
681
+ "<|20.58|>": 51393,
682
+ "<|20.60|>": 51394,
683
+ "<|20.62|>": 51395,
684
+ "<|20.64|>": 51396,
685
+ "<|20.66|>": 51397,
686
+ "<|20.68|>": 51398,
687
+ "<|20.70|>": 51399,
688
+ "<|20.72|>": 51400,
689
+ "<|20.74|>": 51401,
690
+ "<|20.76|>": 51402,
691
+ "<|20.78|>": 51403,
692
+ "<|20.80|>": 51404,
693
+ "<|20.82|>": 51405,
694
+ "<|20.84|>": 51406,
695
+ "<|20.86|>": 51407,
696
+ "<|20.88|>": 51408,
697
+ "<|20.90|>": 51409,
698
+ "<|20.92|>": 51410,
699
+ "<|20.94|>": 51411,
700
+ "<|20.96|>": 51412,
701
+ "<|20.98|>": 51413,
702
+ "<|21.00|>": 51414,
703
+ "<|21.02|>": 51415,
704
+ "<|21.04|>": 51416,
705
+ "<|21.06|>": 51417,
706
+ "<|21.08|>": 51418,
707
+ "<|21.10|>": 51419,
708
+ "<|21.12|>": 51420,
709
+ "<|21.14|>": 51421,
710
+ "<|21.16|>": 51422,
711
+ "<|21.18|>": 51423,
712
+ "<|21.20|>": 51424,
713
+ "<|21.22|>": 51425,
714
+ "<|21.24|>": 51426,
715
+ "<|21.26|>": 51427,
716
+ "<|21.28|>": 51428,
717
+ "<|21.30|>": 51429,
718
+ "<|21.32|>": 51430,
719
+ "<|21.34|>": 51431,
720
+ "<|21.36|>": 51432,
721
+ "<|21.38|>": 51433,
722
+ "<|21.40|>": 51434,
723
+ "<|21.42|>": 51435,
724
+ "<|21.44|>": 51436,
725
+ "<|21.46|>": 51437,
726
+ "<|21.48|>": 51438,
727
+ "<|21.50|>": 51439,
728
+ "<|21.52|>": 51440,
729
+ "<|21.54|>": 51441,
730
+ "<|21.56|>": 51442,
731
+ "<|21.58|>": 51443,
732
+ "<|21.60|>": 51444,
733
+ "<|21.62|>": 51445,
734
+ "<|21.64|>": 51446,
735
+ "<|21.66|>": 51447,
736
+ "<|21.68|>": 51448,
737
+ "<|21.70|>": 51449,
738
+ "<|21.72|>": 51450,
739
+ "<|21.74|>": 51451,
740
+ "<|21.76|>": 51452,
741
+ "<|21.78|>": 51453,
742
+ "<|21.80|>": 51454,
743
+ "<|21.82|>": 51455,
744
+ "<|21.84|>": 51456,
745
+ "<|21.86|>": 51457,
746
+ "<|21.88|>": 51458,
747
+ "<|21.90|>": 51459,
748
+ "<|21.92|>": 51460,
749
+ "<|21.94|>": 51461,
750
+ "<|21.96|>": 51462,
751
+ "<|21.98|>": 51463,
752
+ "<|22.00|>": 51464,
753
+ "<|22.02|>": 51465,
754
+ "<|22.04|>": 51466,
755
+ "<|22.06|>": 51467,
756
+ "<|22.08|>": 51468,
757
+ "<|22.10|>": 51469,
758
+ "<|22.12|>": 51470,
759
+ "<|22.14|>": 51471,
760
+ "<|22.16|>": 51472,
761
+ "<|22.18|>": 51473,
762
+ "<|22.20|>": 51474,
763
+ "<|22.22|>": 51475,
764
+ "<|22.24|>": 51476,
765
+ "<|22.26|>": 51477,
766
+ "<|22.28|>": 51478,
767
+ "<|22.30|>": 51479,
768
+ "<|22.32|>": 51480,
769
+ "<|22.34|>": 51481,
770
+ "<|22.36|>": 51482,
771
+ "<|22.38|>": 51483,
772
+ "<|22.40|>": 51484,
773
+ "<|22.42|>": 51485,
774
+ "<|22.44|>": 51486,
775
+ "<|22.46|>": 51487,
776
+ "<|22.48|>": 51488,
777
+ "<|22.50|>": 51489,
778
+ "<|22.52|>": 51490,
779
+ "<|22.54|>": 51491,
780
+ "<|22.56|>": 51492,
781
+ "<|22.58|>": 51493,
782
+ "<|22.60|>": 51494,
783
+ "<|22.62|>": 51495,
784
+ "<|22.64|>": 51496,
785
+ "<|22.66|>": 51497,
786
+ "<|22.68|>": 51498,
787
+ "<|22.70|>": 51499,
788
+ "<|22.72|>": 51500,
789
+ "<|22.74|>": 51501,
790
+ "<|22.76|>": 51502,
791
+ "<|22.78|>": 51503,
792
+ "<|22.80|>": 51504,
793
+ "<|22.82|>": 51505,
794
+ "<|22.84|>": 51506,
795
+ "<|22.86|>": 51507,
796
+ "<|22.88|>": 51508,
797
+ "<|22.90|>": 51509,
798
+ "<|22.92|>": 51510,
799
+ "<|22.94|>": 51511,
800
+ "<|22.96|>": 51512,
801
+ "<|22.98|>": 51513,
802
+ "<|23.00|>": 51514,
803
+ "<|23.02|>": 51515,
804
+ "<|23.04|>": 51516,
805
+ "<|23.06|>": 51517,
806
+ "<|23.08|>": 51518,
807
+ "<|23.10|>": 51519,
808
+ "<|23.12|>": 51520,
809
+ "<|23.14|>": 51521,
810
+ "<|23.16|>": 51522,
811
+ "<|23.18|>": 51523,
812
+ "<|23.20|>": 51524,
813
+ "<|23.22|>": 51525,
814
+ "<|23.24|>": 51526,
815
+ "<|23.26|>": 51527,
816
+ "<|23.28|>": 51528,
817
+ "<|23.30|>": 51529,
818
+ "<|23.32|>": 51530,
819
+ "<|23.34|>": 51531,
820
+ "<|23.36|>": 51532,
821
+ "<|23.38|>": 51533,
822
+ "<|23.40|>": 51534,
823
+ "<|23.42|>": 51535,
824
+ "<|23.44|>": 51536,
825
+ "<|23.46|>": 51537,
826
+ "<|23.48|>": 51538,
827
+ "<|23.50|>": 51539,
828
+ "<|23.52|>": 51540,
829
+ "<|23.54|>": 51541,
830
+ "<|23.56|>": 51542,
831
+ "<|23.58|>": 51543,
832
+ "<|23.60|>": 51544,
833
+ "<|23.62|>": 51545,
834
+ "<|23.64|>": 51546,
835
+ "<|23.66|>": 51547,
836
+ "<|23.68|>": 51548,
837
+ "<|23.70|>": 51549,
838
+ "<|23.72|>": 51550,
839
+ "<|23.74|>": 51551,
840
+ "<|23.76|>": 51552,
841
+ "<|23.78|>": 51553,
842
+ "<|23.80|>": 51554,
843
+ "<|23.82|>": 51555,
844
+ "<|23.84|>": 51556,
845
+ "<|23.86|>": 51557,
846
+ "<|23.88|>": 51558,
847
+ "<|23.90|>": 51559,
848
+ "<|23.92|>": 51560,
849
+ "<|23.94|>": 51561,
850
+ "<|23.96|>": 51562,
851
+ "<|23.98|>": 51563,
852
+ "<|24.00|>": 51564,
853
+ "<|24.02|>": 51565,
854
+ "<|24.04|>": 51566,
855
+ "<|24.06|>": 51567,
856
+ "<|24.08|>": 51568,
857
+ "<|24.10|>": 51569,
858
+ "<|24.12|>": 51570,
859
+ "<|24.14|>": 51571,
860
+ "<|24.16|>": 51572,
861
+ "<|24.18|>": 51573,
862
+ "<|24.20|>": 51574,
863
+ "<|24.22|>": 51575,
864
+ "<|24.24|>": 51576,
865
+ "<|24.26|>": 51577,
866
+ "<|24.28|>": 51578,
867
+ "<|24.30|>": 51579,
868
+ "<|24.32|>": 51580,
869
+ "<|24.34|>": 51581,
870
+ "<|24.36|>": 51582,
871
+ "<|24.38|>": 51583,
872
+ "<|24.40|>": 51584,
873
+ "<|24.42|>": 51585,
874
+ "<|24.44|>": 51586,
875
+ "<|24.46|>": 51587,
876
+ "<|24.48|>": 51588,
877
+ "<|24.50|>": 51589,
878
+ "<|24.52|>": 51590,
879
+ "<|24.54|>": 51591,
880
+ "<|24.56|>": 51592,
881
+ "<|24.58|>": 51593,
882
+ "<|24.60|>": 51594,
883
+ "<|24.62|>": 51595,
884
+ "<|24.64|>": 51596,
885
+ "<|24.66|>": 51597,
886
+ "<|24.68|>": 51598,
887
+ "<|24.70|>": 51599,
888
+ "<|24.72|>": 51600,
889
+ "<|24.74|>": 51601,
890
+ "<|24.76|>": 51602,
891
+ "<|24.78|>": 51603,
892
+ "<|24.80|>": 51604,
893
+ "<|24.82|>": 51605,
894
+ "<|24.84|>": 51606,
895
+ "<|24.86|>": 51607,
896
+ "<|24.88|>": 51608,
897
+ "<|24.90|>": 51609,
898
+ "<|24.92|>": 51610,
899
+ "<|24.94|>": 51611,
900
+ "<|24.96|>": 51612,
901
+ "<|24.98|>": 51613,
902
+ "<|25.00|>": 51614,
903
+ "<|25.02|>": 51615,
904
+ "<|25.04|>": 51616,
905
+ "<|25.06|>": 51617,
906
+ "<|25.08|>": 51618,
907
+ "<|25.10|>": 51619,
908
+ "<|25.12|>": 51620,
909
+ "<|25.14|>": 51621,
910
+ "<|25.16|>": 51622,
911
+ "<|25.18|>": 51623,
912
+ "<|25.20|>": 51624,
913
+ "<|25.22|>": 51625,
914
+ "<|25.24|>": 51626,
915
+ "<|25.26|>": 51627,
916
+ "<|25.28|>": 51628,
917
+ "<|25.30|>": 51629,
918
+ "<|25.32|>": 51630,
919
+ "<|25.34|>": 51631,
920
+ "<|25.36|>": 51632,
921
+ "<|25.38|>": 51633,
922
+ "<|25.40|>": 51634,
923
+ "<|25.42|>": 51635,
924
+ "<|25.44|>": 51636,
925
+ "<|25.46|>": 51637,
926
+ "<|25.48|>": 51638,
927
+ "<|25.50|>": 51639,
928
+ "<|25.52|>": 51640,
929
+ "<|25.54|>": 51641,
930
+ "<|25.56|>": 51642,
931
+ "<|25.58|>": 51643,
932
+ "<|25.60|>": 51644,
933
+ "<|25.62|>": 51645,
934
+ "<|25.64|>": 51646,
935
+ "<|25.66|>": 51647,
936
+ "<|25.68|>": 51648,
937
+ "<|25.70|>": 51649,
938
+ "<|25.72|>": 51650,
939
+ "<|25.74|>": 51651,
940
+ "<|25.76|>": 51652,
941
+ "<|25.78|>": 51653,
942
+ "<|25.80|>": 51654,
943
+ "<|25.82|>": 51655,
944
+ "<|25.84|>": 51656,
945
+ "<|25.86|>": 51657,
946
+ "<|25.88|>": 51658,
947
+ "<|25.90|>": 51659,
948
+ "<|25.92|>": 51660,
949
+ "<|25.94|>": 51661,
950
+ "<|25.96|>": 51662,
951
+ "<|25.98|>": 51663,
952
+ "<|26.00|>": 51664,
953
+ "<|26.02|>": 51665,
954
+ "<|26.04|>": 51666,
955
+ "<|26.06|>": 51667,
956
+ "<|26.08|>": 51668,
957
+ "<|26.10|>": 51669,
958
+ "<|26.12|>": 51670,
959
+ "<|26.14|>": 51671,
960
+ "<|26.16|>": 51672,
961
+ "<|26.18|>": 51673,
962
+ "<|26.20|>": 51674,
963
+ "<|26.22|>": 51675,
964
+ "<|26.24|>": 51676,
965
+ "<|26.26|>": 51677,
966
+ "<|26.28|>": 51678,
967
+ "<|26.30|>": 51679,
968
+ "<|26.32|>": 51680,
969
+ "<|26.34|>": 51681,
970
+ "<|26.36|>": 51682,
971
+ "<|26.38|>": 51683,
972
+ "<|26.40|>": 51684,
973
+ "<|26.42|>": 51685,
974
+ "<|26.44|>": 51686,
975
+ "<|26.46|>": 51687,
976
+ "<|26.48|>": 51688,
977
+ "<|26.50|>": 51689,
978
+ "<|26.52|>": 51690,
979
+ "<|26.54|>": 51691,
980
+ "<|26.56|>": 51692,
981
+ "<|26.58|>": 51693,
982
+ "<|26.60|>": 51694,
983
+ "<|26.62|>": 51695,
984
+ "<|26.64|>": 51696,
985
+ "<|26.66|>": 51697,
986
+ "<|26.68|>": 51698,
987
+ "<|26.70|>": 51699,
988
+ "<|26.72|>": 51700,
989
+ "<|26.74|>": 51701,
990
+ "<|26.76|>": 51702,
991
+ "<|26.78|>": 51703,
992
+ "<|26.80|>": 51704,
993
+ "<|26.82|>": 51705,
994
+ "<|26.84|>": 51706,
995
+ "<|26.86|>": 51707,
996
+ "<|26.88|>": 51708,
997
+ "<|26.90|>": 51709,
998
+ "<|26.92|>": 51710,
999
+ "<|26.94|>": 51711,
1000
+ "<|26.96|>": 51712,
1001
+ "<|26.98|>": 51713,
1002
+ "<|27.00|>": 51714,
1003
+ "<|27.02|>": 51715,
1004
+ "<|27.04|>": 51716,
1005
+ "<|27.06|>": 51717,
1006
+ "<|27.08|>": 51718,
1007
+ "<|27.10|>": 51719,
1008
+ "<|27.12|>": 51720,
1009
+ "<|27.14|>": 51721,
1010
+ "<|27.16|>": 51722,
1011
+ "<|27.18|>": 51723,
1012
+ "<|27.20|>": 51724,
1013
+ "<|27.22|>": 51725,
1014
+ "<|27.24|>": 51726,
1015
+ "<|27.26|>": 51727,
1016
+ "<|27.28|>": 51728,
1017
+ "<|27.30|>": 51729,
1018
+ "<|27.32|>": 51730,
1019
+ "<|27.34|>": 51731,
1020
+ "<|27.36|>": 51732,
1021
+ "<|27.38|>": 51733,
1022
+ "<|27.40|>": 51734,
1023
+ "<|27.42|>": 51735,
1024
+ "<|27.44|>": 51736,
1025
+ "<|27.46|>": 51737,
1026
+ "<|27.48|>": 51738,
1027
+ "<|27.50|>": 51739,
1028
+ "<|27.52|>": 51740,
1029
+ "<|27.54|>": 51741,
1030
+ "<|27.56|>": 51742,
1031
+ "<|27.58|>": 51743,
1032
+ "<|27.60|>": 51744,
1033
+ "<|27.62|>": 51745,
1034
+ "<|27.64|>": 51746,
1035
+ "<|27.66|>": 51747,
1036
+ "<|27.68|>": 51748,
1037
+ "<|27.70|>": 51749,
1038
+ "<|27.72|>": 51750,
1039
+ "<|27.74|>": 51751,
1040
+ "<|27.76|>": 51752,
1041
+ "<|27.78|>": 51753,
1042
+ "<|27.80|>": 51754,
1043
+ "<|27.82|>": 51755,
1044
+ "<|27.84|>": 51756,
1045
+ "<|27.86|>": 51757,
1046
+ "<|27.88|>": 51758,
1047
+ "<|27.90|>": 51759,
1048
+ "<|27.92|>": 51760,
1049
+ "<|27.94|>": 51761,
1050
+ "<|27.96|>": 51762,
1051
+ "<|27.98|>": 51763,
1052
+ "<|28.00|>": 51764,
1053
+ "<|28.02|>": 51765,
1054
+ "<|28.04|>": 51766,
1055
+ "<|28.06|>": 51767,
1056
+ "<|28.08|>": 51768,
1057
+ "<|28.10|>": 51769,
1058
+ "<|28.12|>": 51770,
1059
+ "<|28.14|>": 51771,
1060
+ "<|28.16|>": 51772,
1061
+ "<|28.18|>": 51773,
1062
+ "<|28.20|>": 51774,
1063
+ "<|28.22|>": 51775,
1064
+ "<|28.24|>": 51776,
1065
+ "<|28.26|>": 51777,
1066
+ "<|28.28|>": 51778,
1067
+ "<|28.30|>": 51779,
1068
+ "<|28.32|>": 51780,
1069
+ "<|28.34|>": 51781,
1070
+ "<|28.36|>": 51782,
1071
+ "<|28.38|>": 51783,
1072
+ "<|28.40|>": 51784,
1073
+ "<|28.42|>": 51785,
1074
+ "<|28.44|>": 51786,
1075
+ "<|28.46|>": 51787,
1076
+ "<|28.48|>": 51788,
1077
+ "<|28.50|>": 51789,
1078
+ "<|28.52|>": 51790,
1079
+ "<|28.54|>": 51791,
1080
+ "<|28.56|>": 51792,
1081
+ "<|28.58|>": 51793,
1082
+ "<|28.60|>": 51794,
1083
+ "<|28.62|>": 51795,
1084
+ "<|28.64|>": 51796,
1085
+ "<|28.66|>": 51797,
1086
+ "<|28.68|>": 51798,
1087
+ "<|28.70|>": 51799,
1088
+ "<|28.72|>": 51800,
1089
+ "<|28.74|>": 51801,
1090
+ "<|28.76|>": 51802,
1091
+ "<|28.78|>": 51803,
1092
+ "<|28.80|>": 51804,
1093
+ "<|28.82|>": 51805,
1094
+ "<|28.84|>": 51806,
1095
+ "<|28.86|>": 51807,
1096
+ "<|28.88|>": 51808,
1097
+ "<|28.90|>": 51809,
1098
+ "<|28.92|>": 51810,
1099
+ "<|28.94|>": 51811,
1100
+ "<|28.96|>": 51812,
1101
+ "<|28.98|>": 51813,
1102
+ "<|29.00|>": 51814,
1103
+ "<|29.02|>": 51815,
1104
+ "<|29.04|>": 51816,
1105
+ "<|29.06|>": 51817,
1106
+ "<|29.08|>": 51818,
1107
+ "<|29.10|>": 51819,
1108
+ "<|29.12|>": 51820,
1109
+ "<|29.14|>": 51821,
1110
+ "<|29.16|>": 51822,
1111
+ "<|29.18|>": 51823,
1112
+ "<|29.20|>": 51824,
1113
+ "<|29.22|>": 51825,
1114
+ "<|29.24|>": 51826,
1115
+ "<|29.26|>": 51827,
1116
+ "<|29.28|>": 51828,
1117
+ "<|29.30|>": 51829,
1118
+ "<|29.32|>": 51830,
1119
+ "<|29.34|>": 51831,
1120
+ "<|29.36|>": 51832,
1121
+ "<|29.38|>": 51833,
1122
+ "<|29.40|>": 51834,
1123
+ "<|29.42|>": 51835,
1124
+ "<|29.44|>": 51836,
1125
+ "<|29.46|>": 51837,
1126
+ "<|29.48|>": 51838,
1127
+ "<|29.50|>": 51839,
1128
+ "<|29.52|>": 51840,
1129
+ "<|29.54|>": 51841,
1130
+ "<|29.56|>": 51842,
1131
+ "<|29.58|>": 51843,
1132
+ "<|29.60|>": 51844,
1133
+ "<|29.62|>": 51845,
1134
+ "<|29.64|>": 51846,
1135
+ "<|29.66|>": 51847,
1136
+ "<|29.68|>": 51848,
1137
+ "<|29.70|>": 51849,
1138
+ "<|29.72|>": 51850,
1139
+ "<|29.74|>": 51851,
1140
+ "<|29.76|>": 51852,
1141
+ "<|29.78|>": 51853,
1142
+ "<|29.80|>": 51854,
1143
+ "<|29.82|>": 51855,
1144
+ "<|29.84|>": 51856,
1145
+ "<|29.86|>": 51857,
1146
+ "<|29.88|>": 51858,
1147
+ "<|29.90|>": 51859,
1148
+ "<|29.92|>": 51860,
1149
+ "<|29.94|>": 51861,
1150
+ "<|29.96|>": 51862,
1151
+ "<|29.98|>": 51863,
1152
+ "<|3.00|>": 50514,
1153
+ "<|3.02|>": 50515,
1154
+ "<|3.04|>": 50516,
1155
+ "<|3.06|>": 50517,
1156
+ "<|3.08|>": 50518,
1157
+ "<|3.10|>": 50519,
1158
+ "<|3.12|>": 50520,
1159
+ "<|3.14|>": 50521,
1160
+ "<|3.16|>": 50522,
1161
+ "<|3.18|>": 50523,
1162
+ "<|3.20|>": 50524,
1163
+ "<|3.22|>": 50525,
1164
+ "<|3.24|>": 50526,
1165
+ "<|3.26|>": 50527,
1166
+ "<|3.28|>": 50528,
1167
+ "<|3.30|>": 50529,
1168
+ "<|3.32|>": 50530,
1169
+ "<|3.34|>": 50531,
1170
+ "<|3.36|>": 50532,
1171
+ "<|3.38|>": 50533,
1172
+ "<|3.40|>": 50534,
1173
+ "<|3.42|>": 50535,
1174
+ "<|3.44|>": 50536,
1175
+ "<|3.46|>": 50537,
1176
+ "<|3.48|>": 50538,
1177
+ "<|3.50|>": 50539,
1178
+ "<|3.52|>": 50540,
1179
+ "<|3.54|>": 50541,
1180
+ "<|3.56|>": 50542,
1181
+ "<|3.58|>": 50543,
1182
+ "<|3.60|>": 50544,
1183
+ "<|3.62|>": 50545,
1184
+ "<|3.64|>": 50546,
1185
+ "<|3.66|>": 50547,
1186
+ "<|3.68|>": 50548,
1187
+ "<|3.70|>": 50549,
1188
+ "<|3.72|>": 50550,
1189
+ "<|3.74|>": 50551,
1190
+ "<|3.76|>": 50552,
1191
+ "<|3.78|>": 50553,
1192
+ "<|3.80|>": 50554,
1193
+ "<|3.82|>": 50555,
1194
+ "<|3.84|>": 50556,
1195
+ "<|3.86|>": 50557,
1196
+ "<|3.88|>": 50558,
1197
+ "<|3.90|>": 50559,
1198
+ "<|3.92|>": 50560,
1199
+ "<|3.94|>": 50561,
1200
+ "<|3.96|>": 50562,
1201
+ "<|3.98|>": 50563,
1202
+ "<|30.00|>": 51864,
1203
+ "<|4.00|>": 50564,
1204
+ "<|4.02|>": 50565,
1205
+ "<|4.04|>": 50566,
1206
+ "<|4.06|>": 50567,
1207
+ "<|4.08|>": 50568,
1208
+ "<|4.10|>": 50569,
1209
+ "<|4.12|>": 50570,
1210
+ "<|4.14|>": 50571,
1211
+ "<|4.16|>": 50572,
1212
+ "<|4.18|>": 50573,
1213
+ "<|4.20|>": 50574,
1214
+ "<|4.22|>": 50575,
1215
+ "<|4.24|>": 50576,
1216
+ "<|4.26|>": 50577,
1217
+ "<|4.28|>": 50578,
1218
+ "<|4.30|>": 50579,
1219
+ "<|4.32|>": 50580,
1220
+ "<|4.34|>": 50581,
1221
+ "<|4.36|>": 50582,
1222
+ "<|4.38|>": 50583,
1223
+ "<|4.40|>": 50584,
1224
+ "<|4.42|>": 50585,
1225
+ "<|4.44|>": 50586,
1226
+ "<|4.46|>": 50587,
1227
+ "<|4.48|>": 50588,
1228
+ "<|4.50|>": 50589,
1229
+ "<|4.52|>": 50590,
1230
+ "<|4.54|>": 50591,
1231
+ "<|4.56|>": 50592,
1232
+ "<|4.58|>": 50593,
1233
+ "<|4.60|>": 50594,
1234
+ "<|4.62|>": 50595,
1235
+ "<|4.64|>": 50596,
1236
+ "<|4.66|>": 50597,
1237
+ "<|4.68|>": 50598,
1238
+ "<|4.70|>": 50599,
1239
+ "<|4.72|>": 50600,
1240
+ "<|4.74|>": 50601,
1241
+ "<|4.76|>": 50602,
1242
+ "<|4.78|>": 50603,
1243
+ "<|4.80|>": 50604,
1244
+ "<|4.82|>": 50605,
1245
+ "<|4.84|>": 50606,
1246
+ "<|4.86|>": 50607,
1247
+ "<|4.88|>": 50608,
1248
+ "<|4.90|>": 50609,
1249
+ "<|4.92|>": 50610,
1250
+ "<|4.94|>": 50611,
1251
+ "<|4.96|>": 50612,
1252
+ "<|4.98|>": 50613,
1253
+ "<|5.00|>": 50614,
1254
+ "<|5.02|>": 50615,
1255
+ "<|5.04|>": 50616,
1256
+ "<|5.06|>": 50617,
1257
+ "<|5.08|>": 50618,
1258
+ "<|5.10|>": 50619,
1259
+ "<|5.12|>": 50620,
1260
+ "<|5.14|>": 50621,
1261
+ "<|5.16|>": 50622,
1262
+ "<|5.18|>": 50623,
1263
+ "<|5.20|>": 50624,
1264
+ "<|5.22|>": 50625,
1265
+ "<|5.24|>": 50626,
1266
+ "<|5.26|>": 50627,
1267
+ "<|5.28|>": 50628,
1268
+ "<|5.30|>": 50629,
1269
+ "<|5.32|>": 50630,
1270
+ "<|5.34|>": 50631,
1271
+ "<|5.36|>": 50632,
1272
+ "<|5.38|>": 50633,
1273
+ "<|5.40|>": 50634,
1274
+ "<|5.42|>": 50635,
1275
+ "<|5.44|>": 50636,
1276
+ "<|5.46|>": 50637,
1277
+ "<|5.48|>": 50638,
1278
+ "<|5.50|>": 50639,
1279
+ "<|5.52|>": 50640,
1280
+ "<|5.54|>": 50641,
1281
+ "<|5.56|>": 50642,
1282
+ "<|5.58|>": 50643,
1283
+ "<|5.60|>": 50644,
1284
+ "<|5.62|>": 50645,
1285
+ "<|5.64|>": 50646,
1286
+ "<|5.66|>": 50647,
1287
+ "<|5.68|>": 50648,
1288
+ "<|5.70|>": 50649,
1289
+ "<|5.72|>": 50650,
1290
+ "<|5.74|>": 50651,
1291
+ "<|5.76|>": 50652,
1292
+ "<|5.78|>": 50653,
1293
+ "<|5.80|>": 50654,
1294
+ "<|5.82|>": 50655,
1295
+ "<|5.84|>": 50656,
1296
+ "<|5.86|>": 50657,
1297
+ "<|5.88|>": 50658,
1298
+ "<|5.90|>": 50659,
1299
+ "<|5.92|>": 50660,
1300
+ "<|5.94|>": 50661,
1301
+ "<|5.96|>": 50662,
1302
+ "<|5.98|>": 50663,
1303
+ "<|6.00|>": 50664,
1304
+ "<|6.02|>": 50665,
1305
+ "<|6.04|>": 50666,
1306
+ "<|6.06|>": 50667,
1307
+ "<|6.08|>": 50668,
1308
+ "<|6.10|>": 50669,
1309
+ "<|6.12|>": 50670,
1310
+ "<|6.14|>": 50671,
1311
+ "<|6.16|>": 50672,
1312
+ "<|6.18|>": 50673,
1313
+ "<|6.20|>": 50674,
1314
+ "<|6.22|>": 50675,
1315
+ "<|6.24|>": 50676,
1316
+ "<|6.26|>": 50677,
1317
+ "<|6.28|>": 50678,
1318
+ "<|6.30|>": 50679,
1319
+ "<|6.32|>": 50680,
1320
+ "<|6.34|>": 50681,
1321
+ "<|6.36|>": 50682,
1322
+ "<|6.38|>": 50683,
1323
+ "<|6.40|>": 50684,
1324
+ "<|6.42|>": 50685,
1325
+ "<|6.44|>": 50686,
1326
+ "<|6.46|>": 50687,
1327
+ "<|6.48|>": 50688,
1328
+ "<|6.50|>": 50689,
1329
+ "<|6.52|>": 50690,
1330
+ "<|6.54|>": 50691,
1331
+ "<|6.56|>": 50692,
1332
+ "<|6.58|>": 50693,
1333
+ "<|6.60|>": 50694,
1334
+ "<|6.62|>": 50695,
1335
+ "<|6.64|>": 50696,
1336
+ "<|6.66|>": 50697,
1337
+ "<|6.68|>": 50698,
1338
+ "<|6.70|>": 50699,
1339
+ "<|6.72|>": 50700,
1340
+ "<|6.74|>": 50701,
1341
+ "<|6.76|>": 50702,
1342
+ "<|6.78|>": 50703,
1343
+ "<|6.80|>": 50704,
1344
+ "<|6.82|>": 50705,
1345
+ "<|6.84|>": 50706,
1346
+ "<|6.86|>": 50707,
1347
+ "<|6.88|>": 50708,
1348
+ "<|6.90|>": 50709,
1349
+ "<|6.92|>": 50710,
1350
+ "<|6.94|>": 50711,
1351
+ "<|6.96|>": 50712,
1352
+ "<|6.98|>": 50713,
1353
+ "<|7.00|>": 50714,
1354
+ "<|7.02|>": 50715,
1355
+ "<|7.04|>": 50716,
1356
+ "<|7.06|>": 50717,
1357
+ "<|7.08|>": 50718,
1358
+ "<|7.10|>": 50719,
1359
+ "<|7.12|>": 50720,
1360
+ "<|7.14|>": 50721,
1361
+ "<|7.16|>": 50722,
1362
+ "<|7.18|>": 50723,
1363
+ "<|7.20|>": 50724,
1364
+ "<|7.22|>": 50725,
1365
+ "<|7.24|>": 50726,
1366
+ "<|7.26|>": 50727,
1367
+ "<|7.28|>": 50728,
1368
+ "<|7.30|>": 50729,
1369
+ "<|7.32|>": 50730,
1370
+ "<|7.34|>": 50731,
1371
+ "<|7.36|>": 50732,
1372
+ "<|7.38|>": 50733,
1373
+ "<|7.40|>": 50734,
1374
+ "<|7.42|>": 50735,
1375
+ "<|7.44|>": 50736,
1376
+ "<|7.46|>": 50737,
1377
+ "<|7.48|>": 50738,
1378
+ "<|7.50|>": 50739,
1379
+ "<|7.52|>": 50740,
1380
+ "<|7.54|>": 50741,
1381
+ "<|7.56|>": 50742,
1382
+ "<|7.58|>": 50743,
1383
+ "<|7.60|>": 50744,
1384
+ "<|7.62|>": 50745,
1385
+ "<|7.64|>": 50746,
1386
+ "<|7.66|>": 50747,
1387
+ "<|7.68|>": 50748,
1388
+ "<|7.70|>": 50749,
1389
+ "<|7.72|>": 50750,
1390
+ "<|7.74|>": 50751,
1391
+ "<|7.76|>": 50752,
1392
+ "<|7.78|>": 50753,
1393
+ "<|7.80|>": 50754,
1394
+ "<|7.82|>": 50755,
1395
+ "<|7.84|>": 50756,
1396
+ "<|7.86|>": 50757,
1397
+ "<|7.88|>": 50758,
1398
+ "<|7.90|>": 50759,
1399
+ "<|7.92|>": 50760,
1400
+ "<|7.94|>": 50761,
1401
+ "<|7.96|>": 50762,
1402
+ "<|7.98|>": 50763,
1403
+ "<|8.00|>": 50764,
1404
+ "<|8.02|>": 50765,
1405
+ "<|8.04|>": 50766,
1406
+ "<|8.06|>": 50767,
1407
+ "<|8.08|>": 50768,
1408
+ "<|8.10|>": 50769,
1409
+ "<|8.12|>": 50770,
1410
+ "<|8.14|>": 50771,
1411
+ "<|8.16|>": 50772,
1412
+ "<|8.18|>": 50773,
1413
+ "<|8.20|>": 50774,
1414
+ "<|8.22|>": 50775,
1415
+ "<|8.24|>": 50776,
1416
+ "<|8.26|>": 50777,
1417
+ "<|8.28|>": 50778,
1418
+ "<|8.30|>": 50779,
1419
+ "<|8.32|>": 50780,
1420
+ "<|8.34|>": 50781,
1421
+ "<|8.36|>": 50782,
1422
+ "<|8.38|>": 50783,
1423
+ "<|8.40|>": 50784,
1424
+ "<|8.42|>": 50785,
1425
+ "<|8.44|>": 50786,
1426
+ "<|8.46|>": 50787,
1427
+ "<|8.48|>": 50788,
1428
+ "<|8.50|>": 50789,
1429
+ "<|8.52|>": 50790,
1430
+ "<|8.54|>": 50791,
1431
+ "<|8.56|>": 50792,
1432
+ "<|8.58|>": 50793,
1433
+ "<|8.60|>": 50794,
1434
+ "<|8.62|>": 50795,
1435
+ "<|8.64|>": 50796,
1436
+ "<|8.66|>": 50797,
1437
+ "<|8.68|>": 50798,
1438
+ "<|8.70|>": 50799,
1439
+ "<|8.72|>": 50800,
1440
+ "<|8.74|>": 50801,
1441
+ "<|8.76|>": 50802,
1442
+ "<|8.78|>": 50803,
1443
+ "<|8.80|>": 50804,
1444
+ "<|8.82|>": 50805,
1445
+ "<|8.84|>": 50806,
1446
+ "<|8.86|>": 50807,
1447
+ "<|8.88|>": 50808,
1448
+ "<|8.90|>": 50809,
1449
+ "<|8.92|>": 50810,
1450
+ "<|8.94|>": 50811,
1451
+ "<|8.96|>": 50812,
1452
+ "<|8.98|>": 50813,
1453
+ "<|9.00|>": 50814,
1454
+ "<|9.02|>": 50815,
1455
+ "<|9.04|>": 50816,
1456
+ "<|9.06|>": 50817,
1457
+ "<|9.08|>": 50818,
1458
+ "<|9.10|>": 50819,
1459
+ "<|9.12|>": 50820,
1460
+ "<|9.14|>": 50821,
1461
+ "<|9.16|>": 50822,
1462
+ "<|9.18|>": 50823,
1463
+ "<|9.20|>": 50824,
1464
+ "<|9.22|>": 50825,
1465
+ "<|9.24|>": 50826,
1466
+ "<|9.26|>": 50827,
1467
+ "<|9.28|>": 50828,
1468
+ "<|9.30|>": 50829,
1469
+ "<|9.32|>": 50830,
1470
+ "<|9.34|>": 50831,
1471
+ "<|9.36|>": 50832,
1472
+ "<|9.38|>": 50833,
1473
+ "<|9.40|>": 50834,
1474
+ "<|9.42|>": 50835,
1475
+ "<|9.44|>": 50836,
1476
+ "<|9.46|>": 50837,
1477
+ "<|9.48|>": 50838,
1478
+ "<|9.50|>": 50839,
1479
+ "<|9.52|>": 50840,
1480
+ "<|9.54|>": 50841,
1481
+ "<|9.56|>": 50842,
1482
+ "<|9.58|>": 50843,
1483
+ "<|9.60|>": 50844,
1484
+ "<|9.62|>": 50845,
1485
+ "<|9.64|>": 50846,
1486
+ "<|9.66|>": 50847,
1487
+ "<|9.68|>": 50848,
1488
+ "<|9.70|>": 50849,
1489
+ "<|9.72|>": 50850,
1490
+ "<|9.74|>": 50851,
1491
+ "<|9.76|>": 50852,
1492
+ "<|9.78|>": 50853,
1493
+ "<|9.80|>": 50854,
1494
+ "<|9.82|>": 50855,
1495
+ "<|9.84|>": 50856,
1496
+ "<|9.86|>": 50857,
1497
+ "<|9.88|>": 50858,
1498
+ "<|9.90|>": 50859,
1499
+ "<|9.92|>": 50860,
1500
+ "<|9.94|>": 50861,
1501
+ "<|9.96|>": 50862,
1502
+ "<|9.98|>": 50863,
1503
+ "<|af|>": 50327,
1504
+ "<|am|>": 50334,
1505
+ "<|ar|>": 50272,
1506
+ "<|as|>": 50350,
1507
+ "<|az|>": 50304,
1508
+ "<|ba|>": 50355,
1509
+ "<|be|>": 50330,
1510
+ "<|bg|>": 50292,
1511
+ "<|bn|>": 50302,
1512
+ "<|bo|>": 50347,
1513
+ "<|br|>": 50309,
1514
+ "<|bs|>": 50315,
1515
+ "<|ca|>": 50270,
1516
+ "<|cs|>": 50283,
1517
+ "<|cy|>": 50297,
1518
+ "<|da|>": 50285,
1519
+ "<|de|>": 50261,
1520
+ "<|el|>": 50281,
1521
+ "<|en|>": 50259,
1522
+ "<|es|>": 50262,
1523
+ "<|et|>": 50307,
1524
+ "<|eu|>": 50310,
1525
+ "<|fa|>": 50300,
1526
+ "<|fi|>": 50277,
1527
+ "<|fo|>": 50338,
1528
+ "<|fr|>": 50265,
1529
+ "<|gl|>": 50319,
1530
+ "<|gu|>": 50333,
1531
+ "<|haw|>": 50352,
1532
+ "<|ha|>": 50354,
1533
+ "<|he|>": 50279,
1534
+ "<|hi|>": 50276,
1535
+ "<|hr|>": 50291,
1536
+ "<|ht|>": 50339,
1537
+ "<|hu|>": 50286,
1538
+ "<|hy|>": 50312,
1539
+ "<|id|>": 50275,
1540
+ "<|is|>": 50311,
1541
+ "<|it|>": 50274,
1542
+ "<|ja|>": 50266,
1543
+ "<|jw|>": 50356,
1544
+ "<|ka|>": 50329,
1545
+ "<|kk|>": 50316,
1546
+ "<|km|>": 50323,
1547
+ "<|kn|>": 50306,
1548
+ "<|ko|>": 50264,
1549
+ "<|la|>": 50294,
1550
+ "<|lb|>": 50345,
1551
+ "<|ln|>": 50353,
1552
+ "<|lo|>": 50336,
1553
+ "<|lt|>": 50293,
1554
+ "<|lv|>": 50301,
1555
+ "<|mg|>": 50349,
1556
+ "<|mi|>": 50295,
1557
+ "<|mk|>": 50308,
1558
+ "<|ml|>": 50296,
1559
+ "<|mn|>": 50314,
1560
+ "<|mr|>": 50320,
1561
+ "<|ms|>": 50282,
1562
+ "<|mt|>": 50343,
1563
+ "<|my|>": 50346,
1564
+ "<|ne|>": 50313,
1565
+ "<|nl|>": 50271,
1566
+ "<|nn|>": 50342,
1567
+ "<|nocaptions|>": 50362,
1568
+ "<|notimestamps|>": 50363,
1569
+ "<|no|>": 50288,
1570
+ "<|oc|>": 50328,
1571
+ "<|pa|>": 50321,
1572
+ "<|pl|>": 50269,
1573
+ "<|ps|>": 50340,
1574
+ "<|pt|>": 50267,
1575
+ "<|ro|>": 50284,
1576
+ "<|ru|>": 50263,
1577
+ "<|sa|>": 50344,
1578
+ "<|sd|>": 50332,
1579
+ "<|si|>": 50322,
1580
+ "<|sk|>": 50298,
1581
+ "<|sl|>": 50305,
1582
+ "<|sn|>": 50324,
1583
+ "<|so|>": 50326,
1584
+ "<|sq|>": 50317,
1585
+ "<|sr|>": 50303,
1586
+ "<|startoflm|>": 50360,
1587
+ "<|startofprev|>": 50361,
1588
+ "<|startoftranscript|>": 50258,
1589
+ "<|su|>": 50357,
1590
+ "<|sv|>": 50273,
1591
+ "<|sw|>": 50318,
1592
+ "<|ta|>": 50287,
1593
+ "<|te|>": 50299,
1594
+ "<|tg|>": 50331,
1595
+ "<|th|>": 50289,
1596
+ "<|tk|>": 50341,
1597
+ "<|tl|>": 50348,
1598
+ "<|transcribe|>": 50359,
1599
+ "<|translate|>": 50358,
1600
+ "<|tr|>": 50268,
1601
+ "<|tt|>": 50351,
1602
+ "<|uk|>": 50280,
1603
+ "<|ur|>": 50290,
1604
+ "<|uz|>": 50337,
1605
+ "<|vi|>": 50278,
1606
+ "<|yi|>": 50335,
1607
+ "<|yo|>": 50325,
1608
+ "<|zh|>": 50260
1609
+ }
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 8.94,
3
+ "eval_f1_score": 0.6872037914691944,
4
+ "eval_label_f1": 0.8325434439178515,
5
+ "eval_loss": 0.22641009092330933,
6
+ "eval_runtime": 339.3736,
7
+ "eval_samples": 1000,
8
+ "eval_samples_per_second": 2.947,
9
+ "eval_steps_per_second": 0.368,
10
+ "eval_wer": 0.09799520086694016,
11
+ "train_loss": 0.21677429428100586,
12
+ "train_runtime": 50642.5955,
13
+ "train_samples_per_second": 12.638,
14
+ "train_steps_per_second": 0.099
15
+ }
checkpoint-1000/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: /esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.7.1.dev0
checkpoint-1000/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "WhisperSLU",
5
+ "parent_library": "whisper_slu.modeling_whisper_slu"
6
+ },
7
+ "base_model_name_or_path": "/esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 32,
16
+ "lora_dropout": 0.1,
17
+ "megatron_config": null,
18
+ "megatron_core": "megatron.core",
19
+ "modules_to_save": [],
20
+ "peft_type": "LORA",
21
+ "r": 8,
22
+ "rank_pattern": {},
23
+ "revision": null,
24
+ "target_modules": ".*(decoder|classifier).*.(k_proj|q_proj|v_proj|out_proj|fc1|fc2)",
25
+ "task_type": null
26
+ }
checkpoint-1000/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e4b7389c5dd614f92427b11242d32c32f0887fc13b0fd3dc78bbb00858beade4
3
+ size 8483432
checkpoint-1000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b98b95430878871996d444981b3ae0ba2d6c343ae8132321c3477cd363fa1f0
3
+ size 17117370
checkpoint-1000/preprocessor_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "chunk_length": 30,
3
+ "feature_extractor_type": "WhisperFeatureExtractor",
4
+ "feature_size": 80,
5
+ "hop_length": 160,
6
+ "n_fft": 400,
7
+ "n_samples": 480000,
8
+ "nb_max_frames": 3000,
9
+ "padding_side": "right",
10
+ "padding_value": 0.0,
11
+ "processor_class": "WhisperProcessor",
12
+ "return_attention_mask": false,
13
+ "sampling_rate": 16000
14
+ }
checkpoint-1000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:29875f484a4fd93d603cd2bfb91d6c886aa3e11b33fa82ce41a7a35f019b8814
3
+ size 14244
checkpoint-1000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e02f51f021ae36351182e8024fe914fcf5489e10c36757bda3a9109ce97166be
3
+ size 1064
checkpoint-1000/trainer_state.json ADDED
@@ -0,0 +1,136 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.7873100983020556,
5
+ "eval_steps": 200,
6
+ "global_step": 1000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.18,
13
+ "learning_rate": 5e-05,
14
+ "loss": 0.4292,
15
+ "step": 100
16
+ },
17
+ {
18
+ "epoch": 0.36,
19
+ "learning_rate": 4.994863481875841e-05,
20
+ "loss": 0.2746,
21
+ "step": 200
22
+ },
23
+ {
24
+ "epoch": 0.36,
25
+ "eval_f1_score": 0.6564825695260478,
26
+ "eval_label_f1": 0.8343125734430082,
27
+ "eval_loss": 0.26023727655410767,
28
+ "eval_runtime": 344.2386,
29
+ "eval_samples_per_second": 2.905,
30
+ "eval_steps_per_second": 0.363,
31
+ "eval_wer": 0.10898676368139949,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 0.54,
36
+ "learning_rate": 4.979475034558115e-05,
37
+ "loss": 0.2568,
38
+ "step": 300
39
+ },
40
+ {
41
+ "epoch": 0.71,
42
+ "learning_rate": 4.9538978924776634e-05,
43
+ "loss": 0.2481,
44
+ "step": 400
45
+ },
46
+ {
47
+ "epoch": 0.71,
48
+ "eval_f1_score": 0.6577916992952232,
49
+ "eval_label_f1": 0.8347689898198903,
50
+ "eval_loss": 0.246540829539299,
51
+ "eval_runtime": 341.9234,
52
+ "eval_samples_per_second": 2.925,
53
+ "eval_steps_per_second": 0.366,
54
+ "eval_wer": 0.10217509095131203,
55
+ "step": 400
56
+ },
57
+ {
58
+ "epoch": 0.89,
59
+ "learning_rate": 4.9182371575975736e-05,
60
+ "loss": 0.2412,
61
+ "step": 500
62
+ },
63
+ {
64
+ "epoch": 1.07,
65
+ "learning_rate": 4.8726393675266716e-05,
66
+ "loss": 0.2385,
67
+ "step": 600
68
+ },
69
+ {
70
+ "epoch": 1.07,
71
+ "eval_f1_score": 0.6684952978056427,
72
+ "eval_label_f1": 0.8322884012539185,
73
+ "eval_loss": 0.24104812741279602,
74
+ "eval_runtime": 342.1463,
75
+ "eval_samples_per_second": 2.923,
76
+ "eval_steps_per_second": 0.365,
77
+ "eval_wer": 0.10484557628299404,
78
+ "step": 600
79
+ },
80
+ {
81
+ "epoch": 1.25,
82
+ "learning_rate": 4.817291893365055e-05,
83
+ "loss": 0.2325,
84
+ "step": 700
85
+ },
86
+ {
87
+ "epoch": 1.43,
88
+ "learning_rate": 4.752422169756048e-05,
89
+ "loss": 0.2316,
90
+ "step": 800
91
+ },
92
+ {
93
+ "epoch": 1.43,
94
+ "eval_f1_score": 0.6724477729601892,
95
+ "eval_label_f1": 0.8316909735908553,
96
+ "eval_loss": 0.23740312457084656,
97
+ "eval_runtime": 344.4982,
98
+ "eval_samples_per_second": 2.903,
99
+ "eval_steps_per_second": 0.363,
100
+ "eval_wer": 0.10221379363727842,
101
+ "step": 800
102
+ },
103
+ {
104
+ "epoch": 1.61,
105
+ "learning_rate": 4.678296760308474e-05,
106
+ "loss": 0.2304,
107
+ "step": 900
108
+ },
109
+ {
110
+ "epoch": 1.79,
111
+ "learning_rate": 4.595220262229601e-05,
112
+ "loss": 0.2291,
113
+ "step": 1000
114
+ },
115
+ {
116
+ "epoch": 1.79,
117
+ "eval_f1_score": 0.6698076168040833,
118
+ "eval_label_f1": 0.8292108362779742,
119
+ "eval_loss": 0.2348490208387375,
120
+ "eval_runtime": 338.1818,
121
+ "eval_samples_per_second": 2.957,
122
+ "eval_steps_per_second": 0.37,
123
+ "eval_wer": 0.09683412028794798,
124
+ "step": 1000
125
+ }
126
+ ],
127
+ "logging_steps": 100,
128
+ "max_steps": 5000,
129
+ "num_input_tokens_seen": 0,
130
+ "num_train_epochs": 9,
131
+ "save_steps": 200,
132
+ "total_flos": 3.936633355915632e+19,
133
+ "train_batch_size": 4,
134
+ "trial_name": null,
135
+ "trial_params": null
136
+ }
checkpoint-1000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:945148c5d00368f7de96a054b87165abda4441d775eb9a7f5fa358f7ee2328ba
3
+ size 4984
checkpoint-1200/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: /esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.7.1.dev0
checkpoint-1200/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "WhisperSLU",
5
+ "parent_library": "whisper_slu.modeling_whisper_slu"
6
+ },
7
+ "base_model_name_or_path": "/esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 32,
16
+ "lora_dropout": 0.1,
17
+ "megatron_config": null,
18
+ "megatron_core": "megatron.core",
19
+ "modules_to_save": [],
20
+ "peft_type": "LORA",
21
+ "r": 8,
22
+ "rank_pattern": {},
23
+ "revision": null,
24
+ "target_modules": ".*(decoder|classifier).*.(k_proj|q_proj|v_proj|out_proj|fc1|fc2)",
25
+ "task_type": null
26
+ }
checkpoint-1200/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cb6ed4af44f6c1c8ea3d063666e3151c8c86c00709437059f07c0d7392f514da
3
+ size 8483432
checkpoint-1200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab2bedf860482bf3772c14dc5c5b549dc5299f99b8dd41bfdfb375f82475db9b
3
+ size 17117370
checkpoint-1200/preprocessor_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "chunk_length": 30,
3
+ "feature_extractor_type": "WhisperFeatureExtractor",
4
+ "feature_size": 80,
5
+ "hop_length": 160,
6
+ "n_fft": 400,
7
+ "n_samples": 480000,
8
+ "nb_max_frames": 3000,
9
+ "padding_side": "right",
10
+ "padding_value": 0.0,
11
+ "processor_class": "WhisperProcessor",
12
+ "return_attention_mask": false,
13
+ "sampling_rate": 16000
14
+ }
checkpoint-1200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2515a0cd512aaf8e96bb297752d0ed05f596cbeab5738fd3842ca43517d2a1ec
3
+ size 14244
checkpoint-1200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:89f8a6be78f594df311cf1228f9262ce80be2de5c34a07efc5520ff529c56f1a
3
+ size 1064
checkpoint-1200/trainer_state.json ADDED
@@ -0,0 +1,159 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.1447721179624666,
5
+ "eval_steps": 200,
6
+ "global_step": 1200,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.18,
13
+ "learning_rate": 5e-05,
14
+ "loss": 0.4292,
15
+ "step": 100
16
+ },
17
+ {
18
+ "epoch": 0.36,
19
+ "learning_rate": 4.994863481875841e-05,
20
+ "loss": 0.2746,
21
+ "step": 200
22
+ },
23
+ {
24
+ "epoch": 0.36,
25
+ "eval_f1_score": 0.6564825695260478,
26
+ "eval_label_f1": 0.8343125734430082,
27
+ "eval_loss": 0.26023727655410767,
28
+ "eval_runtime": 344.2386,
29
+ "eval_samples_per_second": 2.905,
30
+ "eval_steps_per_second": 0.363,
31
+ "eval_wer": 0.10898676368139949,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 0.54,
36
+ "learning_rate": 4.979475034558115e-05,
37
+ "loss": 0.2568,
38
+ "step": 300
39
+ },
40
+ {
41
+ "epoch": 0.71,
42
+ "learning_rate": 4.9538978924776634e-05,
43
+ "loss": 0.2481,
44
+ "step": 400
45
+ },
46
+ {
47
+ "epoch": 0.71,
48
+ "eval_f1_score": 0.6577916992952232,
49
+ "eval_label_f1": 0.8347689898198903,
50
+ "eval_loss": 0.246540829539299,
51
+ "eval_runtime": 341.9234,
52
+ "eval_samples_per_second": 2.925,
53
+ "eval_steps_per_second": 0.366,
54
+ "eval_wer": 0.10217509095131203,
55
+ "step": 400
56
+ },
57
+ {
58
+ "epoch": 0.89,
59
+ "learning_rate": 4.9182371575975736e-05,
60
+ "loss": 0.2412,
61
+ "step": 500
62
+ },
63
+ {
64
+ "epoch": 1.07,
65
+ "learning_rate": 4.8726393675266716e-05,
66
+ "loss": 0.2385,
67
+ "step": 600
68
+ },
69
+ {
70
+ "epoch": 1.07,
71
+ "eval_f1_score": 0.6684952978056427,
72
+ "eval_label_f1": 0.8322884012539185,
73
+ "eval_loss": 0.24104812741279602,
74
+ "eval_runtime": 342.1463,
75
+ "eval_samples_per_second": 2.923,
76
+ "eval_steps_per_second": 0.365,
77
+ "eval_wer": 0.10484557628299404,
78
+ "step": 600
79
+ },
80
+ {
81
+ "epoch": 1.25,
82
+ "learning_rate": 4.817291893365055e-05,
83
+ "loss": 0.2325,
84
+ "step": 700
85
+ },
86
+ {
87
+ "epoch": 1.43,
88
+ "learning_rate": 4.752422169756048e-05,
89
+ "loss": 0.2316,
90
+ "step": 800
91
+ },
92
+ {
93
+ "epoch": 1.43,
94
+ "eval_f1_score": 0.6724477729601892,
95
+ "eval_label_f1": 0.8316909735908553,
96
+ "eval_loss": 0.23740312457084656,
97
+ "eval_runtime": 344.4982,
98
+ "eval_samples_per_second": 2.903,
99
+ "eval_steps_per_second": 0.363,
100
+ "eval_wer": 0.10221379363727842,
101
+ "step": 800
102
+ },
103
+ {
104
+ "epoch": 1.61,
105
+ "learning_rate": 4.678296760308474e-05,
106
+ "loss": 0.2304,
107
+ "step": 900
108
+ },
109
+ {
110
+ "epoch": 1.79,
111
+ "learning_rate": 4.595220262229601e-05,
112
+ "loss": 0.2291,
113
+ "step": 1000
114
+ },
115
+ {
116
+ "epoch": 1.79,
117
+ "eval_f1_score": 0.6698076168040833,
118
+ "eval_label_f1": 0.8292108362779742,
119
+ "eval_loss": 0.2348490208387375,
120
+ "eval_runtime": 338.1818,
121
+ "eval_samples_per_second": 2.957,
122
+ "eval_steps_per_second": 0.37,
123
+ "eval_wer": 0.09683412028794798,
124
+ "step": 1000
125
+ },
126
+ {
127
+ "epoch": 1.97,
128
+ "learning_rate": 4.503534054669892e-05,
129
+ "loss": 0.2275,
130
+ "step": 1100
131
+ },
132
+ {
133
+ "epoch": 2.14,
134
+ "learning_rate": 4.4036148959228365e-05,
135
+ "loss": 0.2205,
136
+ "step": 1200
137
+ },
138
+ {
139
+ "epoch": 2.14,
140
+ "eval_f1_score": 0.6744822196170379,
141
+ "eval_label_f1": 0.8339194998046112,
142
+ "eval_loss": 0.2333754003047943,
143
+ "eval_runtime": 340.8077,
144
+ "eval_samples_per_second": 2.934,
145
+ "eval_steps_per_second": 0.367,
146
+ "eval_wer": 0.09636968805635111,
147
+ "step": 1200
148
+ }
149
+ ],
150
+ "logging_steps": 100,
151
+ "max_steps": 5000,
152
+ "num_input_tokens_seen": 0,
153
+ "num_train_epochs": 9,
154
+ "save_steps": 200,
155
+ "total_flos": 4.723935422948064e+19,
156
+ "train_batch_size": 4,
157
+ "trial_name": null,
158
+ "trial_params": null
159
+ }
checkpoint-1200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:945148c5d00368f7de96a054b87165abda4441d775eb9a7f5fa358f7ee2328ba
3
+ size 4984
checkpoint-1400/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: /esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.7.1.dev0
checkpoint-1400/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "WhisperSLU",
5
+ "parent_library": "whisper_slu.modeling_whisper_slu"
6
+ },
7
+ "base_model_name_or_path": "/esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 32,
16
+ "lora_dropout": 0.1,
17
+ "megatron_config": null,
18
+ "megatron_core": "megatron.core",
19
+ "modules_to_save": [],
20
+ "peft_type": "LORA",
21
+ "r": 8,
22
+ "rank_pattern": {},
23
+ "revision": null,
24
+ "target_modules": ".*(decoder|classifier).*.(k_proj|q_proj|v_proj|out_proj|fc1|fc2)",
25
+ "task_type": null
26
+ }
checkpoint-1400/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c62d6a13e227407e45ae0e42ab70efa63457246bf9bc7d494876b7f0bf20f358
3
+ size 8483432
checkpoint-1400/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:76bea05d58c798bac553491ed4b62d6d37f48d83061c702a5b5a31193ec74d6e
3
+ size 17117370
checkpoint-1400/preprocessor_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "chunk_length": 30,
3
+ "feature_extractor_type": "WhisperFeatureExtractor",
4
+ "feature_size": 80,
5
+ "hop_length": 160,
6
+ "n_fft": 400,
7
+ "n_samples": 480000,
8
+ "nb_max_frames": 3000,
9
+ "padding_side": "right",
10
+ "padding_value": 0.0,
11
+ "processor_class": "WhisperProcessor",
12
+ "return_attention_mask": false,
13
+ "sampling_rate": 16000
14
+ }
checkpoint-1400/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c4113b0f9f3a24b5dad40186acf4b3498c46740a39c7c90615ef45ac40f0662f
3
+ size 14244
checkpoint-1400/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9815b377fd05ccf2cfb8fa717fa5bcb75946ec736523202a79c7a602f678ab1b
3
+ size 1064
checkpoint-1400/trainer_state.json ADDED
@@ -0,0 +1,182 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.5022341376228776,
5
+ "eval_steps": 200,
6
+ "global_step": 1400,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.18,
13
+ "learning_rate": 5e-05,
14
+ "loss": 0.4292,
15
+ "step": 100
16
+ },
17
+ {
18
+ "epoch": 0.36,
19
+ "learning_rate": 4.994863481875841e-05,
20
+ "loss": 0.2746,
21
+ "step": 200
22
+ },
23
+ {
24
+ "epoch": 0.36,
25
+ "eval_f1_score": 0.6564825695260478,
26
+ "eval_label_f1": 0.8343125734430082,
27
+ "eval_loss": 0.26023727655410767,
28
+ "eval_runtime": 344.2386,
29
+ "eval_samples_per_second": 2.905,
30
+ "eval_steps_per_second": 0.363,
31
+ "eval_wer": 0.10898676368139949,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 0.54,
36
+ "learning_rate": 4.979475034558115e-05,
37
+ "loss": 0.2568,
38
+ "step": 300
39
+ },
40
+ {
41
+ "epoch": 0.71,
42
+ "learning_rate": 4.9538978924776634e-05,
43
+ "loss": 0.2481,
44
+ "step": 400
45
+ },
46
+ {
47
+ "epoch": 0.71,
48
+ "eval_f1_score": 0.6577916992952232,
49
+ "eval_label_f1": 0.8347689898198903,
50
+ "eval_loss": 0.246540829539299,
51
+ "eval_runtime": 341.9234,
52
+ "eval_samples_per_second": 2.925,
53
+ "eval_steps_per_second": 0.366,
54
+ "eval_wer": 0.10217509095131203,
55
+ "step": 400
56
+ },
57
+ {
58
+ "epoch": 0.89,
59
+ "learning_rate": 4.9182371575975736e-05,
60
+ "loss": 0.2412,
61
+ "step": 500
62
+ },
63
+ {
64
+ "epoch": 1.07,
65
+ "learning_rate": 4.8726393675266716e-05,
66
+ "loss": 0.2385,
67
+ "step": 600
68
+ },
69
+ {
70
+ "epoch": 1.07,
71
+ "eval_f1_score": 0.6684952978056427,
72
+ "eval_label_f1": 0.8322884012539185,
73
+ "eval_loss": 0.24104812741279602,
74
+ "eval_runtime": 342.1463,
75
+ "eval_samples_per_second": 2.923,
76
+ "eval_steps_per_second": 0.365,
77
+ "eval_wer": 0.10484557628299404,
78
+ "step": 600
79
+ },
80
+ {
81
+ "epoch": 1.25,
82
+ "learning_rate": 4.817291893365055e-05,
83
+ "loss": 0.2325,
84
+ "step": 700
85
+ },
86
+ {
87
+ "epoch": 1.43,
88
+ "learning_rate": 4.752422169756048e-05,
89
+ "loss": 0.2316,
90
+ "step": 800
91
+ },
92
+ {
93
+ "epoch": 1.43,
94
+ "eval_f1_score": 0.6724477729601892,
95
+ "eval_label_f1": 0.8316909735908553,
96
+ "eval_loss": 0.23740312457084656,
97
+ "eval_runtime": 344.4982,
98
+ "eval_samples_per_second": 2.903,
99
+ "eval_steps_per_second": 0.363,
100
+ "eval_wer": 0.10221379363727842,
101
+ "step": 800
102
+ },
103
+ {
104
+ "epoch": 1.61,
105
+ "learning_rate": 4.678296760308474e-05,
106
+ "loss": 0.2304,
107
+ "step": 900
108
+ },
109
+ {
110
+ "epoch": 1.79,
111
+ "learning_rate": 4.595220262229601e-05,
112
+ "loss": 0.2291,
113
+ "step": 1000
114
+ },
115
+ {
116
+ "epoch": 1.79,
117
+ "eval_f1_score": 0.6698076168040833,
118
+ "eval_label_f1": 0.8292108362779742,
119
+ "eval_loss": 0.2348490208387375,
120
+ "eval_runtime": 338.1818,
121
+ "eval_samples_per_second": 2.957,
122
+ "eval_steps_per_second": 0.37,
123
+ "eval_wer": 0.09683412028794798,
124
+ "step": 1000
125
+ },
126
+ {
127
+ "epoch": 1.97,
128
+ "learning_rate": 4.503534054669892e-05,
129
+ "loss": 0.2275,
130
+ "step": 1100
131
+ },
132
+ {
133
+ "epoch": 2.14,
134
+ "learning_rate": 4.4036148959228365e-05,
135
+ "loss": 0.2205,
136
+ "step": 1200
137
+ },
138
+ {
139
+ "epoch": 2.14,
140
+ "eval_f1_score": 0.6744822196170379,
141
+ "eval_label_f1": 0.8339194998046112,
142
+ "eval_loss": 0.2333754003047943,
143
+ "eval_runtime": 340.8077,
144
+ "eval_samples_per_second": 2.934,
145
+ "eval_steps_per_second": 0.367,
146
+ "eval_wer": 0.09636968805635111,
147
+ "step": 1200
148
+ },
149
+ {
150
+ "epoch": 2.32,
151
+ "learning_rate": 4.2958733752443195e-05,
152
+ "loss": 0.2224,
153
+ "step": 1300
154
+ },
155
+ {
156
+ "epoch": 2.5,
157
+ "learning_rate": 4.180752225653292e-05,
158
+ "loss": 0.2211,
159
+ "step": 1400
160
+ },
161
+ {
162
+ "epoch": 2.5,
163
+ "eval_f1_score": 0.672933803368586,
164
+ "eval_label_f1": 0.8327457892675283,
165
+ "eval_loss": 0.2319139689207077,
166
+ "eval_runtime": 341.1059,
167
+ "eval_samples_per_second": 2.932,
168
+ "eval_steps_per_second": 0.366,
169
+ "eval_wer": 0.09606006656861986,
170
+ "step": 1400
171
+ }
172
+ ],
173
+ "logging_steps": 100,
174
+ "max_steps": 5000,
175
+ "num_input_tokens_seen": 0,
176
+ "num_train_epochs": 9,
177
+ "save_steps": 200,
178
+ "total_flos": 5.511268245168864e+19,
179
+ "train_batch_size": 4,
180
+ "trial_name": null,
181
+ "trial_params": null
182
+ }
checkpoint-1400/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:945148c5d00368f7de96a054b87165abda4441d775eb9a7f5fa358f7ee2328ba
3
+ size 4984
checkpoint-1600/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: /esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.7.1.dev0
checkpoint-1600/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "WhisperSLU",
5
+ "parent_library": "whisper_slu.modeling_whisper_slu"
6
+ },
7
+ "base_model_name_or_path": "/esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 32,
16
+ "lora_dropout": 0.1,
17
+ "megatron_config": null,
18
+ "megatron_core": "megatron.core",
19
+ "modules_to_save": [],
20
+ "peft_type": "LORA",
21
+ "r": 8,
22
+ "rank_pattern": {},
23
+ "revision": null,
24
+ "target_modules": ".*(decoder|classifier).*.(k_proj|q_proj|v_proj|out_proj|fc1|fc2)",
25
+ "task_type": null
26
+ }
checkpoint-1600/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd98698b0b7dd5ef093dc4cb3de2975de9b88eae04f92e38898de053b18e1a33
3
+ size 8483432
checkpoint-1600/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0b6101c94aacceea5662024bdaaaeca5b427538507e8ad19a0f881968066a55
3
+ size 17117370
checkpoint-1600/preprocessor_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "chunk_length": 30,
3
+ "feature_extractor_type": "WhisperFeatureExtractor",
4
+ "feature_size": 80,
5
+ "hop_length": 160,
6
+ "n_fft": 400,
7
+ "n_samples": 480000,
8
+ "nb_max_frames": 3000,
9
+ "padding_side": "right",
10
+ "padding_value": 0.0,
11
+ "processor_class": "WhisperProcessor",
12
+ "return_attention_mask": false,
13
+ "sampling_rate": 16000
14
+ }
checkpoint-1600/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0405c534b0d7d2ee71f2e2c7ec4a7f86205f91aa0e3977ef68bbb81717eef835
3
+ size 14244
checkpoint-1600/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:52572f0ac23237b09e9eb849760848ce1ed9d7cac2fbbaeee161ce82f7a8a827
3
+ size 1064
checkpoint-1600/trainer_state.json ADDED
@@ -0,0 +1,205 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.8596961572832886,
5
+ "eval_steps": 200,
6
+ "global_step": 1600,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.18,
13
+ "learning_rate": 5e-05,
14
+ "loss": 0.4292,
15
+ "step": 100
16
+ },
17
+ {
18
+ "epoch": 0.36,
19
+ "learning_rate": 4.994863481875841e-05,
20
+ "loss": 0.2746,
21
+ "step": 200
22
+ },
23
+ {
24
+ "epoch": 0.36,
25
+ "eval_f1_score": 0.6564825695260478,
26
+ "eval_label_f1": 0.8343125734430082,
27
+ "eval_loss": 0.26023727655410767,
28
+ "eval_runtime": 344.2386,
29
+ "eval_samples_per_second": 2.905,
30
+ "eval_steps_per_second": 0.363,
31
+ "eval_wer": 0.10898676368139949,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 0.54,
36
+ "learning_rate": 4.979475034558115e-05,
37
+ "loss": 0.2568,
38
+ "step": 300
39
+ },
40
+ {
41
+ "epoch": 0.71,
42
+ "learning_rate": 4.9538978924776634e-05,
43
+ "loss": 0.2481,
44
+ "step": 400
45
+ },
46
+ {
47
+ "epoch": 0.71,
48
+ "eval_f1_score": 0.6577916992952232,
49
+ "eval_label_f1": 0.8347689898198903,
50
+ "eval_loss": 0.246540829539299,
51
+ "eval_runtime": 341.9234,
52
+ "eval_samples_per_second": 2.925,
53
+ "eval_steps_per_second": 0.366,
54
+ "eval_wer": 0.10217509095131203,
55
+ "step": 400
56
+ },
57
+ {
58
+ "epoch": 0.89,
59
+ "learning_rate": 4.9182371575975736e-05,
60
+ "loss": 0.2412,
61
+ "step": 500
62
+ },
63
+ {
64
+ "epoch": 1.07,
65
+ "learning_rate": 4.8726393675266716e-05,
66
+ "loss": 0.2385,
67
+ "step": 600
68
+ },
69
+ {
70
+ "epoch": 1.07,
71
+ "eval_f1_score": 0.6684952978056427,
72
+ "eval_label_f1": 0.8322884012539185,
73
+ "eval_loss": 0.24104812741279602,
74
+ "eval_runtime": 342.1463,
75
+ "eval_samples_per_second": 2.923,
76
+ "eval_steps_per_second": 0.365,
77
+ "eval_wer": 0.10484557628299404,
78
+ "step": 600
79
+ },
80
+ {
81
+ "epoch": 1.25,
82
+ "learning_rate": 4.817291893365055e-05,
83
+ "loss": 0.2325,
84
+ "step": 700
85
+ },
86
+ {
87
+ "epoch": 1.43,
88
+ "learning_rate": 4.752422169756048e-05,
89
+ "loss": 0.2316,
90
+ "step": 800
91
+ },
92
+ {
93
+ "epoch": 1.43,
94
+ "eval_f1_score": 0.6724477729601892,
95
+ "eval_label_f1": 0.8316909735908553,
96
+ "eval_loss": 0.23740312457084656,
97
+ "eval_runtime": 344.4982,
98
+ "eval_samples_per_second": 2.903,
99
+ "eval_steps_per_second": 0.363,
100
+ "eval_wer": 0.10221379363727842,
101
+ "step": 800
102
+ },
103
+ {
104
+ "epoch": 1.61,
105
+ "learning_rate": 4.678296760308474e-05,
106
+ "loss": 0.2304,
107
+ "step": 900
108
+ },
109
+ {
110
+ "epoch": 1.79,
111
+ "learning_rate": 4.595220262229601e-05,
112
+ "loss": 0.2291,
113
+ "step": 1000
114
+ },
115
+ {
116
+ "epoch": 1.79,
117
+ "eval_f1_score": 0.6698076168040833,
118
+ "eval_label_f1": 0.8292108362779742,
119
+ "eval_loss": 0.2348490208387375,
120
+ "eval_runtime": 338.1818,
121
+ "eval_samples_per_second": 2.957,
122
+ "eval_steps_per_second": 0.37,
123
+ "eval_wer": 0.09683412028794798,
124
+ "step": 1000
125
+ },
126
+ {
127
+ "epoch": 1.97,
128
+ "learning_rate": 4.503534054669892e-05,
129
+ "loss": 0.2275,
130
+ "step": 1100
131
+ },
132
+ {
133
+ "epoch": 2.14,
134
+ "learning_rate": 4.4036148959228365e-05,
135
+ "loss": 0.2205,
136
+ "step": 1200
137
+ },
138
+ {
139
+ "epoch": 2.14,
140
+ "eval_f1_score": 0.6744822196170379,
141
+ "eval_label_f1": 0.8339194998046112,
142
+ "eval_loss": 0.2333754003047943,
143
+ "eval_runtime": 340.8077,
144
+ "eval_samples_per_second": 2.934,
145
+ "eval_steps_per_second": 0.367,
146
+ "eval_wer": 0.09636968805635111,
147
+ "step": 1200
148
+ },
149
+ {
150
+ "epoch": 2.32,
151
+ "learning_rate": 4.2958733752443195e-05,
152
+ "loss": 0.2224,
153
+ "step": 1300
154
+ },
155
+ {
156
+ "epoch": 2.5,
157
+ "learning_rate": 4.180752225653292e-05,
158
+ "loss": 0.2211,
159
+ "step": 1400
160
+ },
161
+ {
162
+ "epoch": 2.5,
163
+ "eval_f1_score": 0.672933803368586,
164
+ "eval_label_f1": 0.8327457892675283,
165
+ "eval_loss": 0.2319139689207077,
166
+ "eval_runtime": 341.1059,
167
+ "eval_samples_per_second": 2.932,
168
+ "eval_steps_per_second": 0.366,
169
+ "eval_wer": 0.09606006656861986,
170
+ "step": 1400
171
+ },
172
+ {
173
+ "epoch": 2.68,
174
+ "learning_rate": 4.058724504646834e-05,
175
+ "loss": 0.2196,
176
+ "step": 1500
177
+ },
178
+ {
179
+ "epoch": 2.86,
180
+ "learning_rate": 3.9302916503054246e-05,
181
+ "loss": 0.2163,
182
+ "step": 1600
183
+ },
184
+ {
185
+ "epoch": 2.86,
186
+ "eval_f1_score": 0.6731669266770671,
187
+ "eval_label_f1": 0.829953198127925,
188
+ "eval_loss": 0.2304619699716568,
189
+ "eval_runtime": 340.688,
190
+ "eval_samples_per_second": 2.935,
191
+ "eval_steps_per_second": 0.367,
192
+ "eval_wer": 0.09807260623887298,
193
+ "step": 1600
194
+ }
195
+ ],
196
+ "logging_steps": 100,
197
+ "max_steps": 5000,
198
+ "num_input_tokens_seen": 0,
199
+ "num_train_epochs": 9,
200
+ "save_steps": 200,
201
+ "total_flos": 6.298601067389664e+19,
202
+ "train_batch_size": 4,
203
+ "trial_name": null,
204
+ "trial_params": null
205
+ }
checkpoint-1600/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:945148c5d00368f7de96a054b87165abda4441d775eb9a7f5fa358f7ee2328ba
3
+ size 4984
checkpoint-1800/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: /esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.7.1.dev0
checkpoint-1800/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "WhisperSLU",
5
+ "parent_library": "whisper_slu.modeling_whisper_slu"
6
+ },
7
+ "base_model_name_or_path": "/esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 32,
16
+ "lora_dropout": 0.1,
17
+ "megatron_config": null,
18
+ "megatron_core": "megatron.core",
19
+ "modules_to_save": [],
20
+ "peft_type": "LORA",
21
+ "r": 8,
22
+ "rank_pattern": {},
23
+ "revision": null,
24
+ "target_modules": ".*(decoder|classifier).*.(k_proj|q_proj|v_proj|out_proj|fc1|fc2)",
25
+ "task_type": null
26
+ }
checkpoint-1800/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e00b322e738809f015e3ec4ec3344ecf8786840081c5b297b1581b82fe612a9a
3
+ size 8483432
checkpoint-1800/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74fffddb4c80937bdc77c1ae1d41ceba7e3cdd42f55d387bd7a07bdfc9165b41
3
+ size 17117370
checkpoint-1800/preprocessor_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "chunk_length": 30,
3
+ "feature_extractor_type": "WhisperFeatureExtractor",
4
+ "feature_size": 80,
5
+ "hop_length": 160,
6
+ "n_fft": 400,
7
+ "n_samples": 480000,
8
+ "nb_max_frames": 3000,
9
+ "padding_side": "right",
10
+ "padding_value": 0.0,
11
+ "processor_class": "WhisperProcessor",
12
+ "return_attention_mask": false,
13
+ "sampling_rate": 16000
14
+ }
checkpoint-1800/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eec76259a2d6180255b866c22b3d26175d35557714f9c10b17fa65949bbfeec3
3
+ size 14244
checkpoint-1800/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3cc0681ec63c679c8db813c7dfdc09d9ecf098eff69000ea7cf2d7132ba6864c
3
+ size 1064
checkpoint-1800/trainer_state.json ADDED
@@ -0,0 +1,228 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.2171581769436997,
5
+ "eval_steps": 200,
6
+ "global_step": 1800,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.18,
13
+ "learning_rate": 5e-05,
14
+ "loss": 0.4292,
15
+ "step": 100
16
+ },
17
+ {
18
+ "epoch": 0.36,
19
+ "learning_rate": 4.994863481875841e-05,
20
+ "loss": 0.2746,
21
+ "step": 200
22
+ },
23
+ {
24
+ "epoch": 0.36,
25
+ "eval_f1_score": 0.6564825695260478,
26
+ "eval_label_f1": 0.8343125734430082,
27
+ "eval_loss": 0.26023727655410767,
28
+ "eval_runtime": 344.2386,
29
+ "eval_samples_per_second": 2.905,
30
+ "eval_steps_per_second": 0.363,
31
+ "eval_wer": 0.10898676368139949,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 0.54,
36
+ "learning_rate": 4.979475034558115e-05,
37
+ "loss": 0.2568,
38
+ "step": 300
39
+ },
40
+ {
41
+ "epoch": 0.71,
42
+ "learning_rate": 4.9538978924776634e-05,
43
+ "loss": 0.2481,
44
+ "step": 400
45
+ },
46
+ {
47
+ "epoch": 0.71,
48
+ "eval_f1_score": 0.6577916992952232,
49
+ "eval_label_f1": 0.8347689898198903,
50
+ "eval_loss": 0.246540829539299,
51
+ "eval_runtime": 341.9234,
52
+ "eval_samples_per_second": 2.925,
53
+ "eval_steps_per_second": 0.366,
54
+ "eval_wer": 0.10217509095131203,
55
+ "step": 400
56
+ },
57
+ {
58
+ "epoch": 0.89,
59
+ "learning_rate": 4.9182371575975736e-05,
60
+ "loss": 0.2412,
61
+ "step": 500
62
+ },
63
+ {
64
+ "epoch": 1.07,
65
+ "learning_rate": 4.8726393675266716e-05,
66
+ "loss": 0.2385,
67
+ "step": 600
68
+ },
69
+ {
70
+ "epoch": 1.07,
71
+ "eval_f1_score": 0.6684952978056427,
72
+ "eval_label_f1": 0.8322884012539185,
73
+ "eval_loss": 0.24104812741279602,
74
+ "eval_runtime": 342.1463,
75
+ "eval_samples_per_second": 2.923,
76
+ "eval_steps_per_second": 0.365,
77
+ "eval_wer": 0.10484557628299404,
78
+ "step": 600
79
+ },
80
+ {
81
+ "epoch": 1.25,
82
+ "learning_rate": 4.817291893365055e-05,
83
+ "loss": 0.2325,
84
+ "step": 700
85
+ },
86
+ {
87
+ "epoch": 1.43,
88
+ "learning_rate": 4.752422169756048e-05,
89
+ "loss": 0.2316,
90
+ "step": 800
91
+ },
92
+ {
93
+ "epoch": 1.43,
94
+ "eval_f1_score": 0.6724477729601892,
95
+ "eval_label_f1": 0.8316909735908553,
96
+ "eval_loss": 0.23740312457084656,
97
+ "eval_runtime": 344.4982,
98
+ "eval_samples_per_second": 2.903,
99
+ "eval_steps_per_second": 0.363,
100
+ "eval_wer": 0.10221379363727842,
101
+ "step": 800
102
+ },
103
+ {
104
+ "epoch": 1.61,
105
+ "learning_rate": 4.678296760308474e-05,
106
+ "loss": 0.2304,
107
+ "step": 900
108
+ },
109
+ {
110
+ "epoch": 1.79,
111
+ "learning_rate": 4.595220262229601e-05,
112
+ "loss": 0.2291,
113
+ "step": 1000
114
+ },
115
+ {
116
+ "epoch": 1.79,
117
+ "eval_f1_score": 0.6698076168040833,
118
+ "eval_label_f1": 0.8292108362779742,
119
+ "eval_loss": 0.2348490208387375,
120
+ "eval_runtime": 338.1818,
121
+ "eval_samples_per_second": 2.957,
122
+ "eval_steps_per_second": 0.37,
123
+ "eval_wer": 0.09683412028794798,
124
+ "step": 1000
125
+ },
126
+ {
127
+ "epoch": 1.97,
128
+ "learning_rate": 4.503534054669892e-05,
129
+ "loss": 0.2275,
130
+ "step": 1100
131
+ },
132
+ {
133
+ "epoch": 2.14,
134
+ "learning_rate": 4.4036148959228365e-05,
135
+ "loss": 0.2205,
136
+ "step": 1200
137
+ },
138
+ {
139
+ "epoch": 2.14,
140
+ "eval_f1_score": 0.6744822196170379,
141
+ "eval_label_f1": 0.8339194998046112,
142
+ "eval_loss": 0.2333754003047943,
143
+ "eval_runtime": 340.8077,
144
+ "eval_samples_per_second": 2.934,
145
+ "eval_steps_per_second": 0.367,
146
+ "eval_wer": 0.09636968805635111,
147
+ "step": 1200
148
+ },
149
+ {
150
+ "epoch": 2.32,
151
+ "learning_rate": 4.2958733752443195e-05,
152
+ "loss": 0.2224,
153
+ "step": 1300
154
+ },
155
+ {
156
+ "epoch": 2.5,
157
+ "learning_rate": 4.180752225653292e-05,
158
+ "loss": 0.2211,
159
+ "step": 1400
160
+ },
161
+ {
162
+ "epoch": 2.5,
163
+ "eval_f1_score": 0.672933803368586,
164
+ "eval_label_f1": 0.8327457892675283,
165
+ "eval_loss": 0.2319139689207077,
166
+ "eval_runtime": 341.1059,
167
+ "eval_samples_per_second": 2.932,
168
+ "eval_steps_per_second": 0.366,
169
+ "eval_wer": 0.09606006656861986,
170
+ "step": 1400
171
+ },
172
+ {
173
+ "epoch": 2.68,
174
+ "learning_rate": 4.058724504646834e-05,
175
+ "loss": 0.2196,
176
+ "step": 1500
177
+ },
178
+ {
179
+ "epoch": 2.86,
180
+ "learning_rate": 3.9302916503054246e-05,
181
+ "loss": 0.2163,
182
+ "step": 1600
183
+ },
184
+ {
185
+ "epoch": 2.86,
186
+ "eval_f1_score": 0.6731669266770671,
187
+ "eval_label_f1": 0.829953198127925,
188
+ "eval_loss": 0.2304619699716568,
189
+ "eval_runtime": 340.688,
190
+ "eval_samples_per_second": 2.935,
191
+ "eval_steps_per_second": 0.367,
192
+ "eval_wer": 0.09807260623887298,
193
+ "step": 1600
194
+ },
195
+ {
196
+ "epoch": 3.04,
197
+ "learning_rate": 3.7959814207763135e-05,
198
+ "loss": 0.219,
199
+ "step": 1700
200
+ },
201
+ {
202
+ "epoch": 3.22,
203
+ "learning_rate": 3.656345725602089e-05,
204
+ "loss": 0.2108,
205
+ "step": 1800
206
+ },
207
+ {
208
+ "epoch": 3.22,
209
+ "eval_f1_score": 0.6734375,
210
+ "eval_label_f1": 0.8328125000000001,
211
+ "eval_loss": 0.22986993193626404,
212
+ "eval_runtime": 338.4413,
213
+ "eval_samples_per_second": 2.955,
214
+ "eval_steps_per_second": 0.369,
215
+ "eval_wer": 0.09544082359315736,
216
+ "step": 1800
217
+ }
218
+ ],
219
+ "logging_steps": 100,
220
+ "max_steps": 5000,
221
+ "num_input_tokens_seen": 0,
222
+ "num_train_epochs": 9,
223
+ "save_steps": 200,
224
+ "total_flos": 7.0859031344220955e+19,
225
+ "train_batch_size": 4,
226
+ "trial_name": null,
227
+ "trial_params": null
228
+ }
checkpoint-1800/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:945148c5d00368f7de96a054b87165abda4441d775eb9a7f5fa358f7ee2328ba
3
+ size 4984