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# model_en_pt

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1561
- Bleu: 1.0547
- Gen Len: 17.8369

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 79   | 3.4923          | 1.2907 | 17.2624 |
| No log        | 2.0   | 158  | 3.3099          | 0.8388 | 17.2482 |
| No log        | 3.0   | 237  | 3.2192          | 0.8526 | 17.7021 |
| No log        | 4.0   | 316  | 3.1709          | 0.9618 | 17.8298 |
| No log        | 5.0   | 395  | 3.1561          | 1.0547 | 17.8369 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["opus_books"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "model_en_pt", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "opus_books", "type": "opus_books", "config": "en-pt", "split": "train", "args": "en-pt"}, "metrics": [{"type": "bleu", "value": 1.0547, "name": "Bleu"}]}]}]}
transformers pytorch t5 text2text-generation generated_from_trainer dataset:opus_books base_model:t5-small license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us