raulgdp commited on
Commit
5536b9f
1 Parent(s): 2a870a1

Training in progress, epoch 1

Browse files
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0605
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- - Precision: 0.9341
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- - Recall: 0.9495
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- - F1: 0.9417
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- - Accuracy: 0.9863
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  ## Model description
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@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.0745 | 1.0 | 1756 | 0.0688 | 0.9081 | 0.9300 | 0.9189 | 0.9812 |
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- | 0.0361 | 2.0 | 3512 | 0.0606 | 0.9336 | 0.9472 | 0.9404 | 0.9855 |
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- | 0.0231 | 3.0 | 5268 | 0.0605 | 0.9341 | 0.9495 | 0.9417 | 0.9863 |
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  ### Framework versions
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- - Transformers 4.40.0
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- - Pytorch 2.2.1+cu121
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- - Datasets 2.19.0
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- - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0592
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+ - Precision: 0.9332
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+ - Recall: 0.9497
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+ - F1: 0.9414
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+ - Accuracy: 0.9862
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.0779 | 1.0 | 1756 | 0.0688 | 0.9155 | 0.9371 | 0.9261 | 0.9824 |
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+ | 0.0401 | 2.0 | 3512 | 0.0550 | 0.9328 | 0.9483 | 0.9405 | 0.9860 |
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+ | 0.0267 | 3.0 | 5268 | 0.0592 | 0.9332 | 0.9497 | 0.9414 | 0.9862 |
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  ### Framework versions
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.18.0
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+ - Tokenizers 0.13.3
config.json CHANGED
@@ -41,7 +41,7 @@
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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- "transformers_version": "4.40.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 28996
 
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.40.2",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 28996
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