---
license: apache-2.0
base_model: liamvbetts/t5-small-finetuned-2024-04-03
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-2024-04-04
  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-2024-04-04

This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-04-03](https://huggingface.co/liamvbetts/t5-small-finetuned-2024-04-03) on the None dataset.

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 74   | 1.7388          | 37.7074 | 26.2165 | 33.6462 | 34.0796   | 18.7895 |


### Framework versions

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