GlycerinLOL commited on
Commit
b27c27d
1 Parent(s): 5571cfa

End of training

Browse files
README.md ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: facebook/bart-large-xsum
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - rouge
8
+ model-index:
9
+ - name: LLM_Teached_Bart
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # LLM_Teached_Bart
17
+
18
+ This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 1.8314
21
+ - Rouge1: 0.4852
22
+ - Rouge2: 0.2152
23
+ - Rougel: 0.3758
24
+ - Rougelsum: 0.3758
25
+ - Gen Len: 44.2945
26
+
27
+ ## Model description
28
+
29
+ More information needed
30
+
31
+ ## Intended uses & limitations
32
+
33
+ More information needed
34
+
35
+ ## Training and evaluation data
36
+
37
+ More information needed
38
+
39
+ ## Training procedure
40
+
41
+ ### Training hyperparameters
42
+
43
+ The following hyperparameters were used during training:
44
+ - learning_rate: 2e-05
45
+ - train_batch_size: 16
46
+ - eval_batch_size: 8
47
+ - seed: 42
48
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
+ - lr_scheduler_type: linear
50
+ - num_epochs: 4
51
+ - mixed_precision_training: Native AMP
52
+
53
+ ### Training results
54
+
55
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
56
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
57
+ | 1.7164 | 1.0 | 625 | 1.7203 | 0.4723 | 0.209 | 0.3674 | 0.3668 | 44.1491 |
58
+ | 1.3424 | 2.0 | 1250 | 1.6998 | 0.484 | 0.2166 | 0.37 | 0.3695 | 45.3727 |
59
+ | 1.1171 | 3.0 | 1875 | 1.7546 | 0.4824 | 0.2144 | 0.3728 | 0.3728 | 43.7636 |
60
+ | 0.8193 | 4.0 | 2500 | 1.8314 | 0.4852 | 0.2152 | 0.3758 | 0.3758 | 44.2945 |
61
+
62
+
63
+ ### Framework versions
64
+
65
+ - Transformers 4.36.0
66
+ - Pytorch 2.0.1+cu117
67
+ - Datasets 2.14.5
68
+ - Tokenizers 0.15.0
generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 0,
3
+ "decoder_start_token_id": 2,
4
+ "early_stopping": true,
5
+ "eos_token_id": 2,
6
+ "forced_eos_token_id": 2,
7
+ "max_length": 62,
8
+ "min_length": 11,
9
+ "no_repeat_ngram_size": 3,
10
+ "num_beams": 6,
11
+ "pad_token_id": 1,
12
+ "transformers_version": "4.36.0"
13
+ }
runs/Dec14_23-35-17_mgrqu6ctr1702517804785-49zpx/events.out.tfevents.1702568127.mgrqu6ctr1702517804785-49zpx.116387.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:dbdcf817f168529277eadb274733dd9973a0868be032a3835d8c2610a82406cc
3
- size 7756
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70cb7fb6c71137200a503ac23a47a53ecff8d78b19375cd23d20a04989648163
3
+ size 8635