---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: first_trial
  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. -->

# first_trial

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6043
- Rouge1: 0.1456
- Rouge2: 0.0437
- Rougel: 0.1267
- Rougelsum: 0.1267
- Gen Len: 18.4047

## 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 54   | 3.0826          | 0.1077 | 0.0244 | 0.092  | 0.0922    | 18.9059 |
| No log        | 2.0   | 108  | 2.7618          | 0.1172 | 0.0267 | 0.101  | 0.1013    | 18.7259 |
| No log        | 3.0   | 162  | 2.6393          | 0.1326 | 0.035  | 0.1159 | 0.116     | 18.4753 |
| No log        | 4.0   | 216  | 2.6043          | 0.1456 | 0.0437 | 0.1267 | 0.1267    | 18.4047 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0