---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: inetuned-summarize-test
  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. -->

# inetuned-summarize-test

This model is a fine-tuned version of [minnehwg/inetuned-summarize-test](https://huggingface.co/minnehwg/inetuned-summarize-test) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8961
- Rouge1: 34.2527
- Rouge2: 14.2278
- Rougel: 24.7229
- Rougelsum: 25.3930

## 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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| No log        | 1.0   | 250  | 0.9249          | 34.2996 | 13.7194 | 24.5150 | 25.1146   |
| 0.6471        | 2.0   | 500  | 0.9104          | 34.1716 | 14.0356 | 24.6683 | 25.1958   |
| 0.6471        | 3.0   | 750  | 0.8961          | 34.2527 | 14.2278 | 24.7229 | 25.3930   |


### Framework versions

- Transformers 4.17.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2