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# my_awesome_dsum_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: 1.5753
- Rouge1: 0.3476
- Rouge2: 0.1123
- Rougel: 0.2884
- Rougelsum: 0.2885
- Gen Len: 18.788

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.7371        | 1.0   | 779  | 1.6384          | 0.3338 | 0.101  | 0.2781 | 0.2782    | 18.752  |
| 1.5086        | 2.0   | 1558 | 1.5932          | 0.3418 | 0.1062 | 0.2824 | 0.2825    | 18.782  |
| 1.4892        | 3.0   | 2337 | 1.5788          | 0.3476 | 0.1131 | 0.2886 | 0.2886    | 18.784  |
| 1.4589        | 4.0   | 3116 | 1.5753          | 0.3476 | 0.1123 | 0.2884 | 0.2885    | 18.788  |


### 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": "my_awesome_dsum_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