---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-feedback
  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-feedback

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6145
- Rouge1: 51.2809
- Rouge2: 27.3229
- Rougel: 49.2287
- Rougelsum: 49.211
- Gen Len: 10.1736

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 61   | 2.9832          | 24.9931 | 10.0881 | 21.9651 | 22.0687   | 16.4876 |
| No log        | 2.0   | 122  | 2.1822          | 36.3348 | 17.5969 | 34.3034 | 34.2834   | 12.1653 |
| No log        | 3.0   | 183  | 1.9607          | 43.7295 | 21.5907 | 41.8815 | 41.929    | 10.5372 |
| No log        | 4.0   | 244  | 1.8412          | 48.7074 | 25.1744 | 46.8382 | 46.8399   | 10.405  |
| No log        | 5.0   | 305  | 1.7674          | 50.1972 | 26.4116 | 48.1456 | 48.0538   | 10.2066 |
| No log        | 6.0   | 366  | 1.7195          | 51.0984 | 27.8685 | 48.9483 | 49.0108   | 10.3554 |
| No log        | 7.0   | 427  | 1.6832          | 50.272  | 27.3168 | 48.4083 | 48.4307   | 10.0331 |
| No log        | 8.0   | 488  | 1.6558          | 50.6829 | 27.5132 | 48.6684 | 48.735    | 10.2727 |
| 2.363         | 9.0   | 549  | 1.6357          | 50.0286 | 27.0674 | 48.0211 | 48.0783   | 10.1736 |
| 2.363         | 10.0  | 610  | 1.6240          | 50.8207 | 26.8345 | 48.6528 | 48.6903   | 10.1983 |
| 2.363         | 11.0  | 671  | 1.6166          | 50.9796 | 27.0236 | 48.8888 | 48.8958   | 10.1901 |
| 2.363         | 12.0  | 732  | 1.6145          | 51.2809 | 27.3229 | 49.2287 | 49.211    | 10.1736 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1