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# Summary

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: 1.7430
- Rouge1: 0.2448
- Rouge2: 0.1173
- Rougel: 0.2028
- Rougelsum: 0.2029
- 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: 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 282  | 1.7743          | 0.2429 | 0.1151 | 0.2007 | 0.2008    | 18.9976 |
| 2.0101        | 2.0   | 564  | 1.7550          | 0.2448 | 0.1169 | 0.203  | 0.2032    | 18.9976 |
| 2.0101        | 3.0   | 846  | 1.7477          | 0.2451 | 0.1178 | 0.2034 | 0.2036    | 18.9976 |
| 1.9145        | 4.0   | 1128 | 1.7441          | 0.2449 | 0.1173 | 0.2028 | 0.203     | 18.9976 |
| 1.9145        | 5.0   | 1410 | 1.7430          | 0.2448 | 0.1173 | 0.2028 | 0.2029    | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- 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": "Summary", "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