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# five_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: 2.7970
- Rouge1: 0.2098
- Rouge2: 0.0823
- Rougel: 0.1904
- Rougelsum: 0.1905
- Gen Len: 17.47

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 107  | 3.2569          | 0.1107 | 0.018  | 0.0981 | 0.0978    | 18.5    |
| No log        | 2.0   | 214  | 2.9546          | 0.1386 | 0.0334 | 0.1187 | 0.1186    | 18.09   |
| No log        | 3.0   | 321  | 2.8548          | 0.1721 | 0.0587 | 0.1544 | 0.1544    | 17.76   |
| No log        | 4.0   | 428  | 2.8110          | 0.204  | 0.0774 | 0.1862 | 0.1871    | 17.64   |
| 3.1308        | 5.0   | 535  | 2.7970          | 0.2098 | 0.0823 | 0.1904 | 0.1905    | 17.47   |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "five_epoch", "results": []}]}
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