---
license: cc-by-4.0
base_model: hyeon77/test_model
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: test_model
  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. -->

# test_model

This model is a fine-tuned version of [hyeon77/test_model](https://huggingface.co/hyeon77/test_model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0975
- Rouge1: 0.115
- Rouge2: 0.0359
- Rougel: 0.1145
- Rougelsum: 0.1146

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.1236        | 1.0   | 58672 | 0.0975          | 0.115  | 0.0359 | 0.1145 | 0.1146    |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2