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distilbert-base-uncased-finetuned-emotion

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  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Sep11_16-44-20_efea6bd8b7e7/events.out.tfevents.1726073062.efea6bd8b7e7.216.3 +2 -2
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1777
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- - Accuracy: 0.9415
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- - F1: 0.9415
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  ## Model description
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@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.7794 | 1.0 | 250 | 0.2609 | 0.919 | 0.9193 |
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- | 0.1985 | 2.0 | 500 | 0.1666 | 0.931 | 0.9310 |
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- | 0.1321 | 3.0 | 750 | 0.1481 | 0.9355 | 0.9365 |
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- | 0.1026 | 4.0 | 1000 | 0.1474 | 0.9395 | 0.9391 |
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- | 0.0853 | 5.0 | 1250 | 0.1400 | 0.94 | 0.9398 |
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- | 0.0708 | 6.0 | 1500 | 0.1521 | 0.941 | 0.9413 |
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- | 0.059 | 7.0 | 1750 | 0.1776 | 0.935 | 0.9344 |
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- | 0.0488 | 8.0 | 2000 | 0.1702 | 0.941 | 0.9411 |
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- | 0.0401 | 9.0 | 2250 | 0.1748 | 0.9415 | 0.9415 |
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- | 0.0354 | 10.0 | 2500 | 0.1777 | 0.9415 | 0.9415 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1759
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+ - Accuracy: 0.94
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+ - F1: 0.9401
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.798 | 1.0 | 250 | 0.2630 | 0.9155 | 0.9160 |
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+ | 0.1996 | 2.0 | 500 | 0.1630 | 0.9345 | 0.9345 |
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+ | 0.1324 | 3.0 | 750 | 0.1518 | 0.9385 | 0.9393 |
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+ | 0.1033 | 4.0 | 1000 | 0.1475 | 0.9385 | 0.9385 |
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+ | 0.0858 | 5.0 | 1250 | 0.1434 | 0.942 | 0.9416 |
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+ | 0.0703 | 6.0 | 1500 | 0.1568 | 0.942 | 0.9422 |
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+ | 0.0592 | 7.0 | 1750 | 0.1676 | 0.938 | 0.9380 |
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+ | 0.0499 | 8.0 | 2000 | 0.1693 | 0.936 | 0.9364 |
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+ | 0.0399 | 9.0 | 2250 | 0.1759 | 0.937 | 0.9373 |
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+ | 0.0366 | 10.0 | 2500 | 0.1759 | 0.94 | 0.9401 |
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  ### Framework versions
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