End of training
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- adapter_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: t5-base
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tags:
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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_medical_diagnostic_peft
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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_medical_diagnostic_peft
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7468
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- Rouge1: 0.4227
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- Rouge2: 0.2234
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- Rougel: 0.3594
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- Rougelsum: 0.3595
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- Gen Len: 17.5843
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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: 0.001
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 1.9974 | 0.2 | 500 | 1.7864 | 0.4167 | 0.221 | 0.3561 | 0.356 | 17.6092 |
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| 1.9244 | 0.4 | 1000 | 1.7504 | 0.4166 | 0.2214 | 0.3577 | 0.3577 | 16.9937 |
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| 1.9121 | 0.6 | 1500 | 1.7274 | 0.4209 | 0.2245 | 0.3593 | 0.3594 | 17.2876 |
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| 1.8677 | 0.8 | 2000 | 1.7101 | 0.4253 | 0.2266 | 0.363 | 0.3631 | 17.5681 |
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| 1.8927 | 1.0 | 2500 | 1.7468 | 0.4227 | 0.2234 | 0.3594 | 0.3595 | 17.5843 |
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### Framework versions
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- Transformers 4.35.0.dev0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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size 7131082
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version https://git-lfs.github.com/spec/v1
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size 7131082
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