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# test_model

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: 1.0259
- Rouge1: 0.4784
- Rouge2: 0.4327
- Rougel: 0.4626
- Rougelsum: 0.4653
- Gen Len: 19.0

## 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: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 5    | 1.1081          | 0.3875 | 0.3345 | 0.3758 | 0.3778    | 18.9    |
| No log        | 2.0   | 10   | 1.0604          | 0.4506 | 0.3974 | 0.4379 | 0.4441    | 18.95   |
| No log        | 3.0   | 15   | 1.0350          | 0.4517 | 0.3981 | 0.4353 | 0.4413    | 19.0    |
| No log        | 4.0   | 20   | 1.0259          | 0.4784 | 0.4327 | 0.4626 | 0.4653    | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1

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