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silviacamplani
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distilbert-finetuned-dapt_tapt-ner-music

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silviacamplani commited on
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Training in progress epoch 4

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Files changed (4) hide show
  1. README.md +11 -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: 2.6231
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- - Validation Loss: 2.0072
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- - Train Precision: 0.0
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- - Train Recall: 0.0
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- - Train F1: 0.0
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- - Train Accuracy: 0.5482
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- - Epoch: 0
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  ## Model description
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@@ -47,6 +47,10 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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  | 2.6231 | 2.0072 | 0.0 | 0.0 | 0.0 | 0.5482 | 0 |
 
 
 
 
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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: 0.9326
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+ - Validation Loss: 0.9225
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+ - Train Precision: 0.5050
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+ - Train Recall: 0.5473
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+ - Train F1: 0.5253
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+ - Train Accuracy: 0.7689
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+ - Epoch: 4
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  ## Model description
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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  | 2.6231 | 2.0072 | 0.0 | 0.0 | 0.0 | 0.5482 | 0 |
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+ | 1.7195 | 1.5337 | 0.1905 | 0.0072 | 0.0139 | 0.5597 | 1 |
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+ | 1.3447 | 1.2423 | 0.3073 | 0.3510 | 0.3277 | 0.6910 | 2 |
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+ | 1.1065 | 1.0569 | 0.4162 | 0.4536 | 0.4341 | 0.7195 | 3 |
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+ | 0.9326 | 0.9225 | 0.5050 | 0.5473 | 0.5253 | 0.7689 | 4 |
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  ### Framework versions
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