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distilbert-base-uncased-finetuned-pad-mult-clf-v2

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
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  1. README.md +18 -18
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7518
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- - Accuracy: 0.7427
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- - F1: 0.6835
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  ## Model description
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@@ -51,21 +51,21 @@ 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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- | No log | 1.0 | 3 | 1.3215 | 0.5648 | 0.4405 |
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- | No log | 2.0 | 6 | 1.2617 | 0.5358 | 0.4208 |
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- | No log | 3.0 | 9 | 1.1748 | 0.6712 | 0.6067 |
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- | 1.3001 | 4.0 | 12 | 1.0865 | 0.7253 | 0.6675 |
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- | 1.3001 | 5.0 | 15 | 1.0062 | 0.7350 | 0.6763 |
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- | 1.3001 | 6.0 | 18 | 0.9380 | 0.7369 | 0.6778 |
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- | 1.0581 | 7.0 | 21 | 0.8892 | 0.7369 | 0.6770 |
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- | 1.0581 | 8.0 | 24 | 0.8494 | 0.7408 | 0.6812 |
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- | 1.0581 | 9.0 | 27 | 0.8220 | 0.7427 | 0.6834 |
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- | 0.8697 | 10.0 | 30 | 0.8050 | 0.7389 | 0.6800 |
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- | 0.8697 | 11.0 | 33 | 0.7851 | 0.7408 | 0.6816 |
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- | 0.8697 | 12.0 | 36 | 0.7700 | 0.7427 | 0.6835 |
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- | 0.8697 | 13.0 | 39 | 0.7592 | 0.7447 | 0.6852 |
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- | 0.7912 | 14.0 | 42 | 0.7534 | 0.7447 | 0.6852 |
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- | 0.7912 | 15.0 | 45 | 0.7518 | 0.7427 | 0.6835 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5603
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+ - Accuracy: 0.8182
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+ - F1: 0.7530
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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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+ | No log | 1.0 | 3 | 1.1843 | 0.5397 | 0.3783 |
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+ | No log | 2.0 | 6 | 1.0491 | 0.5397 | 0.3783 |
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+ | No log | 3.0 | 9 | 0.9692 | 0.5397 | 0.3783 |
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+ | 1.1406 | 4.0 | 12 | 0.8981 | 0.5745 | 0.4501 |
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+ | 1.1406 | 5.0 | 15 | 0.8277 | 0.7292 | 0.6618 |
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+ | 1.1406 | 6.0 | 18 | 0.7654 | 0.7834 | 0.7178 |
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+ | 0.862 | 7.0 | 21 | 0.7125 | 0.8046 | 0.7388 |
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+ | 0.862 | 8.0 | 24 | 0.6680 | 0.8143 | 0.7480 |
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+ | 0.862 | 9.0 | 27 | 0.6395 | 0.8162 | 0.7499 |
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+ | 0.6971 | 10.0 | 30 | 0.6132 | 0.8162 | 0.7499 |
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+ | 0.6971 | 11.0 | 33 | 0.5999 | 0.8182 | 0.7523 |
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+ | 0.6971 | 12.0 | 36 | 0.5766 | 0.8221 | 0.7556 |
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+ | 0.6971 | 13.0 | 39 | 0.5637 | 0.8221 | 0.7561 |
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+ | 0.6012 | 14.0 | 42 | 0.5607 | 0.8182 | 0.7529 |
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+ | 0.6012 | 15.0 | 45 | 0.5603 | 0.8182 | 0.7530 |
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  ### Framework versions
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