End of training
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README.md
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This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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- total_train_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9497
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## Model description
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- total_train_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 21.1265 | 1.0 | 276 | 2.5543 |
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| 18.2347 | 2.0 | 552 | 2.2861 |
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| 16.8533 | 3.0 | 828 | 2.1435 |
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| 15.6224 | 4.0 | 1104 | 2.0605 |
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| 14.7096 | 5.0 | 1380 | 2.0051 |
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| 14.1231 | 6.0 | 1656 | 1.9733 |
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| 13.5673 | 7.0 | 1932 | 1.9566 |
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| 13.1727 | 8.0 | 2208 | 1.9493 |
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| 13.0597 | 9.0 | 2484 | 1.9492 |
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| 12.9195 | 10.0 | 2760 | 1.9497 |
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### Framework versions
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model.safetensors
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size 504109968
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