dadashzadeh
commited on
Commit
•
f1e496e
1
Parent(s):
ee39dbf
End of training
Browse files- .gitattributes +1 -0
- README.md +62 -0
- added_tokens.json +3 -0
- config.json +847 -0
- model.safetensors +3 -0
- runs/Nov13_19-31-31_a3eb61d85f3f/events.out.tfevents.1699903907.a3eb61d85f3f.239.0 +3 -0
- runs/Nov13_19-31-31_a3eb61d85f3f/events.out.tfevents.1699906866.a3eb61d85f3f.239.1 +3 -0
- special_tokens_map.json +9 -0
- spm.model +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +65 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
@@ -0,0 +1,62 @@
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---
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license: apache-2.0
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base_model: sileod/mdeberta-v3-base-tasksource-nli
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: test-trainer-persian
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# test-trainer-persian
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This model is a fine-tuned version of [sileod/mdeberta-v3-base-tasksource-nli](https://huggingface.co/sileod/mdeberta-v3-base-tasksource-nli) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1753
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- Accuracy: 0.9463
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.514 | 1.0 | 1708 | 0.3680 | 0.8829 |
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| 0.3639 | 2.0 | 3416 | 0.2282 | 0.9263 |
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| 0.2534 | 3.0 | 5124 | 0.1753 | 0.9463 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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added_tokens.json
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{
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"[MASK]": 250101
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}
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config.json
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{
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"_name_or_path": "sileod/mdeberta-v3-base-tasksource-nli",
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifiers_size": [
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|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
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|
6 |
+
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|
7 |
+
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|
8 |
+
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|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "[CLS]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "[SEP]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "[UNK]",
|
29 |
+
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|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"250101": {
|
36 |
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"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
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"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "[CLS]",
|
45 |
+
"clean_up_tokenization_spaces": true,
|
46 |
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"cls_token": "[CLS]",
|
47 |
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"do_lower_case": false,
|
48 |
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"eos_token": "[SEP]",
|
49 |
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"mask_token": "[MASK]",
|
50 |
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"max_length": 256,
|
51 |
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"model_max_length": 1000000000000000019884624838656,
|
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|
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"pad_token": "[PAD]",
|
54 |
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"pad_token_type_id": 0,
|
55 |
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"padding_side": "right",
|
56 |
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"sep_token": "[SEP]",
|
57 |
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"sp_model_kwargs": {},
|
58 |
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"split_by_punct": false,
|
59 |
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"stride": 0,
|
60 |
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"tokenizer_class": "DebertaV2Tokenizer",
|
61 |
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"truncation_side": "right",
|
62 |
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"truncation_strategy": "longest_first",
|
63 |
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"unk_token": "[UNK]",
|
64 |
+
"vocab_type": "spm"
|
65 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d61078321ca9e5741bc65f70c07488e68d2348091e0def579c94523b63253a6e
|
3 |
+
size 4600
|