---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
model-index:
- name: T5_small_fine_tuned
  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. -->

# T5_small_fine_tuned

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6491
- Rougel Fmeasure: 0.1247
- Bertscore F1: -0.0215
- Combined Score: 0.0516

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rougel Fmeasure | Bertscore F1 | Combined Score |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:------------:|:--------------:|
| 1.9205        | 1.0   | 2369 | 2.6825          | 0.113           | -0.0448      | 0.0341         |
| 1.8233        | 2.0   | 4738 | 2.6561          | 0.1227          | -0.0249      | 0.0489         |
| 1.7693        | 3.0   | 7107 | 2.6505          | 0.1246          | -0.0215      | 0.0515         |
| 1.7611        | 4.0   | 9476 | 2.6491          | 0.1247          | -0.0215      | 0.0516         |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3