---
base_model: liamvbetts/t5-small-finetuned-2024-03-16
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-2024-03-17
  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-2024-03-17

This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-16](https://huggingface.co/liamvbetts/t5-small-finetuned-2024-03-16) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6870
- Rouge1: 36.9896
- Rouge2: 24.6597
- Rougel: 32.6752
- Rougelsum: 32.6582
- Gen Len: 18.8143

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.9296        | 1.0   | 276  | 1.6870          | 36.9896 | 24.6597 | 32.6752 | 32.6582   | 18.8143 |


### Framework versions

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