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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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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-v3
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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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# flan-t5-small-finetune-medicine-v3
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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: 2.8757
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- Rouge1: 15.991
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- Rouge2: 5.2469
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- Rougel: 14.6278
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- Rougelsum: 14.7076
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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| No log | 1.0 | 5 | 2.9996 | 12.4808 | 4.9536 | 12.3712 | 12.2123 |
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| No log | 2.0 | 10 | 2.9550 | 13.6471 | 4.9536 | 13.5051 | 13.5488 |
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| No log | 3.0 | 15 | 2.9224 | 13.8077 | 5.117 | 13.7274 | 13.753 |
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| No log | 4.0 | 20 | 2.9050 | 13.7861 | 5.117 | 13.6982 | 13.7001 |
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| No log | 5.0 | 25 | 2.8920 | 14.668 | 5.117 | 14.4497 | 14.4115 |
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| No log | 6.0 | 30 | 2.8820 | 14.9451 | 5.2469 | 14.5797 | 14.6308 |
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| No log | 7.0 | 35 | 2.8770 | 15.991 | 5.2469 | 14.6278 | 14.7076 |
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| No log | 8.0 | 40 | 2.8757 | 15.991 | 5.2469 | 14.6278 | 14.7076 |
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### Framework versions
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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
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