transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_small_ten_epoch
  results: []
---

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# t5_small_ten_epoch

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: 2.2845
- Rouge1: 0.3621
- Rouge2: 0.2114
- Rougel: 0.2982
- Rougelsum: 0.297
- Gen Len: 17.52

## 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: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 275  | 2.8863          | 0.1507 | 0.0472 | 0.1346 | 0.1338    | 17.67   |
| 3.0473        | 2.0   | 550  | 2.6258          | 0.2558 | 0.1233 | 0.228  | 0.2293    | 17.49   |
| 3.0473        | 3.0   | 825  | 2.5073          | 0.318  | 0.1732 | 0.2682 | 0.2683    | 17.33   |
| 2.5236        | 4.0   | 1100 | 2.4166          | 0.3364 | 0.1893 | 0.2823 | 0.2822    | 17.25   |
| 2.5236        | 5.0   | 1375 | 2.3721          | 0.3506 | 0.2051 | 0.2927 | 0.2917    | 17.17   |
| 2.3768        | 6.0   | 1650 | 2.3339          | 0.3566 | 0.2101 | 0.2952 | 0.2944    | 17.3    |
| 2.3768        | 7.0   | 1925 | 2.3150          | 0.3546 | 0.2089 | 0.2903 | 0.2899    | 17.46   |
| 2.2982        | 8.0   | 2200 | 2.2954          | 0.3604 | 0.2144 | 0.2947 | 0.2941    | 17.53   |
| 2.2982        | 9.0   | 2475 | 2.2885          | 0.3627 | 0.213  | 0.2955 | 0.2945    | 17.52   |
| 2.2608        | 10.0  | 2750 | 2.2845          | 0.3621 | 0.2114 | 0.2982 | 0.297     | 17.52   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
