End of training
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README.md
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@@ -17,8 +17,8 @@ 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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 32 | 0.
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| No log | 2.0 | 64 | 0.
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| No log | 3.0 | 96 | 0.
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| No log | 4.0 | 128 | 0.
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| No log | 5.0 | 160 | 0.
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| No log | 6.0 | 192 | 0.
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| No log | 7.0 | 224 | 0.
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| No log | 8.0 | 256 | 0.
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| No log | 9.0 | 288 | 0.
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| No log | 10.0 | 320 | 0.
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6238
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- Accuracy: 0.8598
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 25
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 32 | 0.6922 | 0.5 |
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| No log | 2.0 | 64 | 0.6509 | 0.6238 |
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| No log | 3.0 | 96 | 0.4218 | 0.8411 |
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| No log | 4.0 | 128 | 0.3622 | 0.8481 |
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| No log | 5.0 | 160 | 0.3383 | 0.8645 |
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| No log | 6.0 | 192 | 0.3626 | 0.8528 |
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| No log | 7.0 | 224 | 0.3939 | 0.8621 |
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| No log | 8.0 | 256 | 0.4223 | 0.8715 |
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| No log | 9.0 | 288 | 0.4271 | 0.8692 |
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| No log | 10.0 | 320 | 0.4869 | 0.8621 |
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| No log | 11.0 | 352 | 0.5057 | 0.8645 |
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| No log | 12.0 | 384 | 0.5702 | 0.8528 |
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| No log | 13.0 | 416 | 0.5277 | 0.8692 |
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| No log | 14.0 | 448 | 0.5228 | 0.8785 |
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| No log | 15.0 | 480 | 0.5332 | 0.8762 |
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| 0.2235 | 16.0 | 512 | 0.5859 | 0.8715 |
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| 0.2235 | 17.0 | 544 | 0.5938 | 0.8762 |
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| 0.2235 | 18.0 | 576 | 0.6005 | 0.8715 |
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| 0.2235 | 19.0 | 608 | 0.5941 | 0.8715 |
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| 0.2235 | 20.0 | 640 | 0.6115 | 0.8762 |
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| 0.2235 | 21.0 | 672 | 0.6098 | 0.8715 |
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| 0.2235 | 22.0 | 704 | 0.6091 | 0.8715 |
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| 0.2235 | 23.0 | 736 | 0.6223 | 0.8621 |
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| 0.2235 | 24.0 | 768 | 0.6309 | 0.8598 |
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| 0.2235 | 25.0 | 800 | 0.6238 | 0.8598 |
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### Framework versions
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model.safetensors
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