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+ ---
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+ license: apache-2.0
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+ base_model: google/flan-t5-small
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+ tags:
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+ - text2textgeneration
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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: flan-t5-small-finetune-medicine-v2
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+ results: []
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+ ---
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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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+
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+ # flan-t5-small-finetune-medicine-v2
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+
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+ This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.0323
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+ - Rouge1: 11.2462
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+ - Rouge2: 4.9536
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+ - Rougel: 11.1634
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+ - Rougelsum: 11.0579
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 2
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+
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+ ### Training results
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+
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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 | 5 | 3.0553 | 10.7238 | 4.9536 | 10.5795 | 10.5795 |
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+ | No log | 2.0 | 10 | 3.0323 | 11.2462 | 4.9536 | 11.1634 | 11.0579 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.1
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+ - Tokenizers 0.13.3