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# email_parser_mistral_t5_small

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: 0.0981
- Rouge1: 0.8634
- Rouge2: 0.8253
- Rougel: 0.8644
- Rougelsum: 0.8629
- Gen Len: 14.4146

## 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: 10
- eval_batch_size: 10
- 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   | 74   | 0.1405          | 0.8485 | 0.8115 | 0.8499 | 0.8496    | 15.0732 |
| No log        | 2.0   | 148  | 0.1229          | 0.8641 | 0.8307 | 0.8668 | 0.8661    | 14.4878 |
| No log        | 3.0   | 222  | 0.1086          | 0.8712 | 0.8353 | 0.8725 | 0.8709    | 14.2439 |
| No log        | 4.0   | 296  | 0.1001          | 0.8712 | 0.8353 | 0.8725 | 0.8709    | 14.2439 |
| No log        | 5.0   | 370  | 0.0981          | 0.8634 | 0.8253 | 0.8644 | 0.8629    | 14.4146 |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "email_parser_mistral_t5_small", "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