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detr_t5_captioning_model

Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
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detr-t5-medical-captioning

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  1. README.md +4 -5
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -42,15 +42,14 @@ The following hyperparameters were used during training:
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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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  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: 1.7488
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+ - Rougel: 0.2095
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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: 1
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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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+ | 1.9062 | 1.0 | 236 | 1.7488 | 0.2095 |
 
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  ### Framework versions
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