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# email_extractor_more_data_model_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: 0.1772
- Rouge1: 0.8316
- Rouge2: 0.7897
- Rougel: 0.8306
- Rougelsum: 0.8303
- Gen Len: 15.439

## 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   | 0.4608          | 0.6421 | 0.5952 | 0.632  | 0.6312    | 18.6829 |
| No log        | 2.0   | 148  | 0.2775          | 0.7726 | 0.7305 | 0.7735 | 0.7734    | 16.9512 |
| No log        | 3.0   | 222  | 0.2164          | 0.7865 | 0.7549 | 0.7854 | 0.7856    | 16.3659 |
| No log        | 4.0   | 296  | 0.1901          | 0.8316 | 0.7897 | 0.8306 | 0.8303    | 15.439  |
| No log        | 5.0   | 370  | 0.1772          | 0.8316 | 0.7897 | 0.8306 | 0.8303    | 15.439  |


### 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_extractor_more_data_model_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