End of training
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README.md
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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 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 |
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| No log | 1.0 | 42 | 0.
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| No log | 2.0 | 84 | 0.
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| No log | 3.0 | 126 | 0.
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| No log | 4.0 | 168 | 0.0005 |
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| No log | 5.0 | 210 | 0.0003 |
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| No log | 6.0 | 252 | 0.0003 |
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| No log | 7.0 | 294 | 0.0002 |
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| No log | 8.0 | 336 | 0.0002 |
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| No log | 9.0 | 378 | 0.0001 |
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| No log | 10.0 | 420 | 0.0001 |
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| No log | 11.0 | 462 | 0.0001 |
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| 0.0161 | 12.0 | 504 | 0.0001 |
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| 0.0161 | 13.0 | 546 | 0.0001 |
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| 0.0161 | 14.0 | 588 | 0.0001 |
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| 0.0161 | 15.0 | 630 | 0.0001 |
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| 0.0161 | 16.0 | 672 | 0.0001 |
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| 0.0161 | 17.0 | 714 | 0.0001 |
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| 0.0161 | 18.0 | 756 | 0.0001 |
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| 0.0161 | 19.0 | 798 | 0.0000 |
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| 0.0161 | 20.0 | 840 | 0.0000 |
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| 0.0161 | 21.0 | 882 | 0.0000 |
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| 0.0161 | 22.0 | 924 | 0.0000 |
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| 0.0161 | 23.0 | 966 | 0.0000 |
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| 0.0 | 24.0 | 1008 | 0.0000 |
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| 0.0 | 25.0 | 1050 | 0.0000 |
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| 0.0 | 26.0 | 1092 | 0.0000 |
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| 0.0 | 27.0 | 1134 | 0.0000 |
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| 0.0 | 28.0 | 1176 | 0.0000 |
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| 0.0 | 29.0 | 1218 | 0.0000 |
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| 0.0 | 30.0 | 1260 | 0.0000 |
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| 0.0 | 31.0 | 1302 | 0.0000 |
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| 0.0 | 32.0 | 1344 | 0.0000 |
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### Framework versions
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This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0026
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 42 | 0.0104 |
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| No log | 2.0 | 84 | 0.0034 |
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| No log | 3.0 | 126 | 0.0026 |
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### Framework versions
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adapter_model.safetensors
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