---
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
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# 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

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   |


### Framework versions

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