dadashzadeh
commited on
Commit
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Parent(s):
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End of training
Browse files- README.md +74 -72
- config.json +36 -36
- model.safetensors +1 -1
- runs/Jul12_00-15-57_DESKTOP-LR846SV/events.out.tfevents.1720730759.DESKTOP-LR846SV.20864.0 +3 -0
- runs/Jul12_00-25-25_DESKTOP-LR846SV/events.out.tfevents.1720731341.DESKTOP-LR846SV.20864.1 +3 -0
- runs/Jul12_00-27-03_DESKTOP-LR846SV/events.out.tfevents.1720731425.DESKTOP-LR846SV.20864.2 +3 -0
- runs/Jul12_00-27-03_DESKTOP-LR846SV/events.out.tfevents.1720732953.DESKTOP-LR846SV.20864.3 +3 -0
- special_tokens_map.json +37 -37
- tokenizer_config.json +61 -61
- training_args.bin +2 -2
README.md
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---
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license: apache-2.0
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base_model: dadashzadeh/tiny-bert-Sentiment-persian
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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: tiny-bert-Sentiment-persian
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results: []
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---
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license: apache-2.0
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base_model: dadashzadeh/tiny-bert-Sentiment-persian
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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: tiny-bert-Sentiment-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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# tiny-bert-Sentiment-persian
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This model is a fine-tuned version of [dadashzadeh/tiny-bert-Sentiment-persian](https://huggingface.co/dadashzadeh/tiny-bert-Sentiment-persian) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6553
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- Accuracy: 0.7611
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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: 2
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- eval_batch_size: 2
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- seed: 45
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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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: 12
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- mixed_precision_training: Native AMP
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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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| 0.6157 | 0.9999 | 3575 | 0.6703 | 0.7577 |
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| 0.5833 | 1.9999 | 7150 | 0.7599 | 0.7171 |
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| 0.6015 | 2.9998 | 10725 | 0.6824 | 0.7590 |
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| 0.5601 | 4.0 | 14301 | 0.6780 | 0.7533 |
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| 0.5699 | 4.9999 | 17876 | 0.7071 | 0.7356 |
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| 0.5519 | 5.9999 | 21451 | 0.6931 | 0.7391 |
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| 0.5436 | 6.9998 | 25026 | 0.6736 | 0.7629 |
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| 0.5482 | 8.0 | 28602 | 0.6567 | 0.7685 |
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| 0.5367 | 8.9999 | 32177 | 0.6553 | 0.7611 |
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| 0.5399 | 9.9999 | 35752 | 0.6691 | 0.7616 |
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| 0.5112 | 10.9998 | 39327 | 0.6785 | 0.7564 |
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| 0.5113 | 11.9992 | 42900 | 0.6773 | 0.7572 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.2.2+cu118
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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config.json
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"architectures": [
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"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_basic_tokenize": true,
|
47 |
+
"do_lower_case": true,
|
48 |
+
"mask_token": "[MASK]",
|
49 |
+
"max_length": 512,
|
50 |
+
"model_max_length": 512,
|
51 |
+
"never_split": null,
|
52 |
+
"pad_token": "[PAD]",
|
53 |
+
"sep_token": "[SEP]",
|
54 |
+
"stride": 0,
|
55 |
+
"strip_accents": null,
|
56 |
+
"tokenize_chinese_chars": true,
|
57 |
+
"tokenizer_class": "BertTokenizer",
|
58 |
+
"truncation_side": "right",
|
59 |
+
"truncation_strategy": "longest_first",
|
60 |
+
"unk_token": "[UNK]"
|
61 |
+
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9fc6d781bd06086b07c62ae8d94dad59bd177e1067740d9126154824f56f8d12
|
3 |
+
size 5048
|