| license: apache-2.0 | |
| base_model: google/flan-t5-small | |
| tags: | |
| - text2textgeneration | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: flan-t5-small-finetuned-medicine | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # flan-t5-small-finetuned-medicine | |
| This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.9066 | |
| - Rouge1: 9.3596 | |
| - Rouge2: 2.6144 | |
| - Rougel: 8.94 | |
| - Rougelsum: 8.94 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 5.6e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| | |
| | 3.1417 | 1.0 | 5 | 2.9168 | 9.5238 | 2.6144 | 8.9947 | 8.9947 | | |
| | 3.1069 | 2.0 | 10 | 2.9066 | 9.3596 | 2.6144 | 8.94 | 8.94 | | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.14.0 | |
| - Tokenizers 0.13.3 | |