---
base_model: razent/SciFive-base-Pubmed_PMC
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: scifive_ten_epoch
  results: []
---

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# scifive_ten_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: 1.7913
- Rouge1: 0.366
- Rouge2: 0.2107
- Rougel: 0.3132
- Rougelsum: 0.3131
- Gen Len: 17.33

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 275  | 2.2002          | 0.2752 | 0.1436 | 0.2395 | 0.24      | 17.32   |
| 2.3887        | 2.0   | 550  | 1.9610          | 0.347  | 0.2007 | 0.2959 | 0.2961    | 17.73   |
| 2.3887        | 3.0   | 825  | 1.8986          | 0.3664 | 0.2121 | 0.3098 | 0.3101    | 17.5    |
| 1.7972        | 4.0   | 1100 | 1.8486          | 0.3805 | 0.2309 | 0.3267 | 0.327     | 17.1    |
| 1.7972        | 5.0   | 1375 | 1.8232          | 0.372  | 0.2178 | 0.313  | 0.313     | 17.64   |
| 1.6528        | 6.0   | 1650 | 1.8005          | 0.3836 | 0.2271 | 0.3208 | 0.3209    | 17.44   |
| 1.6528        | 7.0   | 1925 | 1.7969          | 0.3821 | 0.2278 | 0.3251 | 0.3253    | 17.25   |
| 1.5676        | 8.0   | 2200 | 1.7872          | 0.3806 | 0.2242 | 0.3224 | 0.323     | 17.3    |
| 1.5676        | 9.0   | 2475 | 1.7888          | 0.3697 | 0.2135 | 0.3135 | 0.3133    | 17.36   |
| 1.5288        | 10.0  | 2750 | 1.7913          | 0.366  | 0.2107 | 0.3132 | 0.3131    | 17.33   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1