alex-miller
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End of training
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README.md
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This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) 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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|:-------------:|:-----:|:----:|:---------------:|
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| 0.
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| 0.
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| 0.0536 | 6.0 | 756 | 0.0568 |
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| 0.0519 | 7.0 | 882 | 0.0564 |
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| 0.0496 | 8.0 | 1008 | 0.0559 |
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| 0.0472 | 9.0 | 1134 | 0.0564 |
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| 0.0472 | 10.0 | 1260 | 0.0563 |
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| 0.0455 | 11.0 | 1386 | 0.0562 |
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| 0.0463 | 12.0 | 1512 | 0.0553 |
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| 0.0449 | 13.0 | 1638 | 0.0554 |
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| 0.0448 | 14.0 | 1764 | 0.0550 |
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| 0.0445 | 15.0 | 1890 | 0.0554 |
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| 0.0432 | 16.0 | 2016 | 0.0551 |
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| 0.0438 | 17.0 | 2142 | 0.0553 |
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| 0.0426 | 18.0 | 2268 | 0.0552 |
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| 0.0435 | 19.0 | 2394 | 0.0553 |
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| 0.0429 | 20.0 | 2520 | 0.0553 |
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### Framework versions
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This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0385
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0642 | 1.0 | 285 | 0.0566 |
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| 0.0512 | 2.0 | 570 | 0.0466 |
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| 0.0436 | 3.0 | 855 | 0.0411 |
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| 0.0395 | 4.0 | 1140 | 0.0391 |
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| 0.0387 | 5.0 | 1425 | 0.0385 |
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### Framework versions
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model.safetensors
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tokenizer.json
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"version": "1.0",
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"truncation":
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training_args.bin
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