---
base_model: liamvbetts/t5-small-finetuned-2024-04-01
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-2024-04-02
  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-finetuned-2024-04-02

This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-04-01](https://huggingface.co/liamvbetts/t5-small-finetuned-2024-04-01) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5585
- Rouge1: 37.1092
- Rouge2: 25.5198
- Rougel: 34.1375
- Rougelsum: 34.3825
- Gen Len: 18.7738

## 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: 4e-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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.6658        | 1.0   | 335  | 1.5585          | 37.1092 | 25.5198 | 34.1375 | 34.3825   | 18.7738 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2