detr-t5-medical-captioning
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- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) 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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- Rougel: 0.
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## Model description
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- seed: 42
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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: linear
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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 | Rougel |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.
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| 0.
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| 0.5186 | 3.0 | 708 | 0.4307 | 0.1179 |
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| 0.5036 | 4.0 | 944 | 0.3281 | 0.4648 |
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| 0.4559 | 5.0 | 1180 | 0.3233 | 0.1179 |
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| 0.3973 | 6.0 | 1416 | 0.3013 | 0.3958 |
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| 0.4032 | 7.0 | 1652 | 0.2943 | 0.1179 |
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| 0.3626 | 8.0 | 1888 | 0.2892 | 0.1179 |
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| 0.3783 | 9.0 | 2124 | 0.2878 | 0.1179 |
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| 0.413 | 10.0 | 2360 | 0.2843 | 0.1179 |
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### Framework versions
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9834
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- Rougel: 0.1565
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## Model description
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- seed: 42
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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: linear
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- num_epochs: 2
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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 | Rougel |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.3246 | 1.0 | 236 | 1.2553 | 0.1565 |
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| 0.9549 | 2.0 | 472 | 0.9834 | 0.1565 |
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### Framework versions
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model.safetensors
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training_args.bin
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