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distilbert-finetuned-dapt_tapt-ner-music

Token Classification
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End of training

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Files changed (4) hide show
  1. README.md +8 -7
  2. logs/train/events.out.tfevents.1661726953.7ce9094dc369.17.0.v2 +2 -2
  3. logs/validation/events.out.tfevents.1661726968.7ce9094dc369.17.1.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-dapt_tapt-lm-ai](https://huggingface.co/silviacamplani/distilbert-finetuned-dapt_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: 0.6284
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- - Validation Loss: 0.7158
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- - Train Precision: 0.5330
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- - Train Recall: 0.5968
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- - Train F1: 0.5631
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- - Train Accuracy: 0.8321
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- - Epoch: 8
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  ## Model description
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@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
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  | 0.7118 | 0.7749 | 0.5292 | 0.5878 | 0.5569 | 0.8176 | 6 |
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  | 0.6636 | 0.7366 | 0.5314 | 0.5950 | 0.5614 | 0.8242 | 7 |
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  | 0.6284 | 0.7158 | 0.5330 | 0.5968 | 0.5631 | 0.8321 | 8 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [silviacamplani/distilbert-finetuned-dapt_tapt-lm-ai](https://huggingface.co/silviacamplani/distilbert-finetuned-dapt_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: 0.6073
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+ - Validation Loss: 0.7078
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+ - Train Precision: 0.5337
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+ - Train Recall: 0.5986
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+ - Train F1: 0.5643
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+ - Train Accuracy: 0.8344
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+ - Epoch: 9
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  ## Model description
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  | 0.7118 | 0.7749 | 0.5292 | 0.5878 | 0.5569 | 0.8176 | 6 |
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  | 0.6636 | 0.7366 | 0.5314 | 0.5950 | 0.5614 | 0.8242 | 7 |
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  | 0.6284 | 0.7158 | 0.5330 | 0.5968 | 0.5631 | 0.8321 | 8 |
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+ | 0.6073 | 0.7078 | 0.5337 | 0.5986 | 0.5643 | 0.8344 | 9 |
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  ### Framework versions
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