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End of training

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  1. README.md +8 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,10 +16,10 @@ should 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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- - Loss: 2.6045
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- - Start Accuracy: 0.3583
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- - End Accuracy: 0.3617
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- - Total Accuracy: 0.36
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Start Accuracy | End Accuracy | Total Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:------------:|:--------------:|
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- | 3.9153 | 1.0 | 88 | 3.5519 | 0.115 | 0.1483 | 0.1317 |
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- | 3.0556 | 2.0 | 176 | 3.0543 | 0.225 | 0.2367 | 0.2308 |
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- | 2.2324 | 3.0 | 264 | 2.6733 | 0.3317 | 0.3467 | 0.3392 |
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- | 1.939 | 4.0 | 352 | 2.6045 | 0.3583 | 0.3617 | 0.36 |
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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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+ - Loss: 2.5248
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+ - Start Accuracy: 0.3833
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+ - End Accuracy: 0.4
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+ - Total Accuracy: 0.3917
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Start Accuracy | End Accuracy | Total Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:------------:|:--------------:|
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+ | 3.9005 | 1.0 | 88 | 3.5172 | 0.115 | 0.14 | 0.1275 |
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+ | 2.9439 | 2.0 | 176 | 2.9212 | 0.2867 | 0.2717 | 0.2792 |
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+ | 2.1543 | 3.0 | 264 | 2.5676 | 0.365 | 0.39 | 0.3775 |
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+ | 1.8481 | 4.0 | 352 | 2.5248 | 0.3833 | 0.4 | 0.3917 |
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  ### Framework versions
model.safetensors CHANGED
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