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--- |
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license: apache-2.0 |
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base_model: google/flan-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: finetuned-t5-medical |
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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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# finetuned-t5-medical |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8686 |
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- Rouge1: 0.1114 |
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- Rouge2: 0.0304 |
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- Rougel: 0.0872 |
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- Rougelsum: 0.1020 |
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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: 0.0003 |
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- train_batch_size: 5 |
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- eval_batch_size: 5 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| No log | 1.0 | 85 | 2.0499 | 0.1186 | 0.0307 | 0.0940 | 0.1071 | |
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| No log | 2.0 | 170 | 1.9463 | 0.1021 | 0.0251 | 0.0838 | 0.0926 | |
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| No log | 3.0 | 255 | 1.8942 | 0.1158 | 0.0324 | 0.0934 | 0.1083 | |
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| No log | 4.0 | 340 | 1.8706 | 0.1101 | 0.0279 | 0.0860 | 0.1017 | |
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| No log | 5.0 | 425 | 1.8686 | 0.1114 | 0.0304 | 0.0872 | 0.1020 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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