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Training in progress epoch 2
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README.md
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@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.
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- Train End Logits Accuracy: 0.
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- Train Start Logits Accuracy: 0.
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- Validation Loss: 1.4662
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- Validation End Logits Accuracy: 0.6175
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- Validation Start Logits Accuracy: 0.6015
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- Epoch:
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## Model description
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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| 1.2135 | 0.6654 | 0.6514 | 1.4662 | 0.6175 | 0.6015 | 0 |
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| 1.2056 | 0.6702 | 0.6596 | 1.4662 | 0.6175 | 0.6015 | 1 |
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### Framework versions
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.2134
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- Train End Logits Accuracy: 0.6650
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- Train Start Logits Accuracy: 0.6528
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- Validation Loss: 1.4662
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- Validation End Logits Accuracy: 0.6175
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- Validation Start Logits Accuracy: 0.6015
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- Epoch: 2
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## Model description
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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| 1.2135 | 0.6654 | 0.6514 | 1.4662 | 0.6175 | 0.6015 | 0 |
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| 1.2056 | 0.6702 | 0.6596 | 1.4662 | 0.6175 | 0.6015 | 1 |
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| 1.2134 | 0.6650 | 0.6528 | 1.4662 | 0.6175 | 0.6015 | 2 |
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### Framework versions
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