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distilbert-finetuned-tapt-ner-music

Token Classification
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distilbert
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End of training

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Files changed (4) hide show
  1. README.md +10 -7
  2. logs/train/events.out.tfevents.1661704349.3e81d4e42f0b.17.2.v2 +2 -2
  3. logs/validation/events.out.tfevents.1661704367.3e81d4e42f0b.17.3.v2 +2 -2
  4. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [silviacamplani/distilbert-finetuned-tapt-lm-ai](https://huggingface.co/silviacamplani/distilbert-finetuned-tapt-lm-ai) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.8117
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- - Validation Loss: 0.8649
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- - Train Precision: 0.5152
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- - Train Recall: 0.5653
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- - Train F1: 0.5391
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- - Train Accuracy: 0.7816
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- - Epoch: 6
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  ## Model description
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@@ -53,6 +53,9 @@ The following hyperparameters were used during training:
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  | 1.0188 | 1.0187 | 0.4583 | 0.4950 | 0.4760 | 0.7409 | 4 |
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  | 0.8983 | 0.9267 | 0.4946 | 0.5383 | 0.5155 | 0.7638 | 5 |
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  | 0.8117 | 0.8649 | 0.5152 | 0.5653 | 0.5391 | 0.7816 | 6 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [silviacamplani/distilbert-finetuned-tapt-lm-ai](https://huggingface.co/silviacamplani/distilbert-finetuned-tapt-lm-ai) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.6932
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+ - Validation Loss: 0.7886
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+ - Train Precision: 0.5347
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+ - Train Recall: 0.5896
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+ - Train F1: 0.5608
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+ - Train Accuracy: 0.8078
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+ - Epoch: 9
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  ## Model description
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  | 1.0188 | 1.0187 | 0.4583 | 0.4950 | 0.4760 | 0.7409 | 4 |
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  | 0.8983 | 0.9267 | 0.4946 | 0.5383 | 0.5155 | 0.7638 | 5 |
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  | 0.8117 | 0.8649 | 0.5152 | 0.5653 | 0.5391 | 0.7816 | 6 |
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+ | 0.7550 | 0.8206 | 0.5283 | 0.5806 | 0.5532 | 0.8007 | 7 |
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+ | 0.7132 | 0.7964 | 0.5326 | 0.5887 | 0.5592 | 0.8049 | 8 |
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+ | 0.6932 | 0.7886 | 0.5347 | 0.5896 | 0.5608 | 0.8078 | 9 |
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  ### Framework versions
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