| --- |
| base_model: razent/SciFive-base-Pubmed_PMC |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: scifive_five_epoch |
| 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. --> |
|
|
| # scifive_five_epoch |
|
|
| This model is a fine-tuned version of [razent/SciFive-base-Pubmed_PMC](https://huggingface.co/razent/SciFive-base-Pubmed_PMC) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.9038 |
| - Rouge1: 0.3532 |
| - Rouge2: 0.1988 |
| - Rougel: 0.2922 |
| - Rougelsum: 0.2938 |
| - Gen Len: 17.78 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | No log | 1.0 | 275 | 2.2317 | 0.2625 | 0.1384 | 0.2222 | 0.2216 | 16.68 | |
| | 2.4127 | 2.0 | 550 | 2.0008 | 0.3456 | 0.1909 | 0.2904 | 0.2898 | 18.24 | |
| | 2.4127 | 3.0 | 825 | 1.9520 | 0.3624 | 0.2103 | 0.3047 | 0.3048 | 17.88 | |
| | 1.8512 | 4.0 | 1100 | 1.9108 | 0.3694 | 0.2119 | 0.3056 | 0.3063 | 17.84 | |
| | 1.8512 | 5.0 | 1375 | 1.9038 | 0.3532 | 0.1988 | 0.2922 | 0.2938 | 17.78 | |
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| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
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|
