update model card README.md
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README.md
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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.
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- Accuracy: 0.
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## Model description
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@@ -55,6 +55,40 @@ The following hyperparameters were used during training:
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| 0.6121 | 4.0 | 12 | 0.7183 | 0.25 |
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| 0.5696 | 5.0 | 15 | 0.7266 | 0.25 |
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| 0.522 | 6.0 | 18 | 0.7305 | 0.25 |
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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: 0.5336
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- Accuracy: 0.7523
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## Model description
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| 0.6121 | 4.0 | 12 | 0.7183 | 0.25 |
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| 0.5696 | 5.0 | 15 | 0.7266 | 0.25 |
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| 0.522 | 6.0 | 18 | 0.7305 | 0.25 |
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| 0.4899 | 7.0 | 21 | 0.7339 | 0.25 |
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| 0.3985 | 8.0 | 24 | 0.7429 | 0.25 |
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| 0.3758 | 9.0 | 27 | 0.7224 | 0.25 |
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| 0.2876 | 10.0 | 30 | 0.7068 | 0.5 |
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| 0.2498 | 11.0 | 33 | 0.6751 | 0.75 |
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| 0.1921 | 12.0 | 36 | 0.6487 | 0.75 |
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| 0.1491 | 13.0 | 39 | 0.6261 | 0.75 |
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| 0.1276 | 14.0 | 42 | 0.6102 | 0.75 |
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| 0.0996 | 15.0 | 45 | 0.5964 | 0.75 |
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| 0.073 | 16.0 | 48 | 0.6019 | 0.75 |
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| 0.0627 | 17.0 | 51 | 0.5933 | 0.75 |
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| 0.053 | 18.0 | 54 | 0.5768 | 0.75 |
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| 0.0403 | 19.0 | 57 | 0.5698 | 0.75 |
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| 0.0328 | 20.0 | 60 | 0.5656 | 0.75 |
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| 0.03 | 21.0 | 63 | 0.5634 | 0.75 |
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| 0.025 | 22.0 | 66 | 0.5620 | 0.75 |
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| 0.0209 | 23.0 | 69 | 0.5623 | 0.75 |
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| 0.0214 | 24.0 | 72 | 0.5606 | 0.75 |
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| 0.0191 | 25.0 | 75 | 0.5565 | 0.75 |
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| 0.0173 | 26.0 | 78 | 0.5485 | 0.75 |
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| 0.0175 | 27.0 | 81 | 0.5397 | 0.75 |
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| 0.0132 | 28.0 | 84 | 0.5322 | 0.75 |
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| 0.0138 | 29.0 | 87 | 0.5241 | 0.75 |
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| 0.0128 | 30.0 | 90 | 0.5235 | 0.75 |
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| 0.0126 | 31.0 | 93 | 0.5253 | 0.75 |
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| 0.012 | 32.0 | 96 | 0.5317 | 0.75 |
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| 0.0118 | 33.0 | 99 | 0.5342 | 0.75 |
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| 0.0092 | 34.0 | 102 | 0.5388 | 0.75 |
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| 0.0117 | 35.0 | 105 | 0.5414 | 0.75 |
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| 0.0124 | 36.0 | 108 | 0.5453 | 0.75 |
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| 0.0109 | 37.0 | 111 | 0.5506 | 0.75 |
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| 0.0112 | 38.0 | 114 | 0.5555 | 0.75 |
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| 0.0087 | 39.0 | 117 | 0.5597 | 0.75 |
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| 0.01 | 40.0 | 120 | 0.5640 | 0.75 |
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### Framework versions
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