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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- summarization
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: t5-small-medical_transcription
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# t5-small-medical_transcription
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7744
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- Rouge1: 0.3722
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- Rouge2: 0.2709
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- Rougel: 0.3628
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- Rougelsum: 0.3619
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- Gen Len: 17.0877
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5.6e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 2.4475 | 1.0 | 27 | 2.0647 | 0.3288 | 0.2503 | 0.3252 | 0.3212 | 17.2281 |
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| 2.0319 | 2.0 | 54 | 1.9089 | 0.3456 | 0.2527 | 0.3407 | 0.3377 | 16.3684 |
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| 1.8772 | 3.0 | 81 | 1.8572 | 0.3528 | 0.2615 | 0.3478 | 0.3457 | 16.1579 |
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| 1.796 | 4.0 | 108 | 1.8211 | 0.3274 | 0.2479 | 0.324 | 0.3216 | 15.7719 |
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| 1.7107 | 5.0 | 135 | 1.7972 | 0.3689 | 0.277 | 0.3614 | 0.3586 | 16.3509 |
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| 1.711 | 6.0 | 162 | 1.7852 | 0.359 | 0.2599 | 0.3505 | 0.348 | 16.2105 |
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| 1.7581 | 7.0 | 189 | 1.7773 | 0.3659 | 0.2646 | 0.3566 | 0.3559 | 16.9298 |
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| 1.704 | 8.0 | 216 | 1.7744 | 0.3722 | 0.2709 | 0.3628 | 0.3619 | 17.0877 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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