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# ft-t5-small-with-opusbook

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: 1.5656
- Bleu: 5.9764
- Gen Len: 17.5616

## 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: 32
- eval_batch_size: 32
- 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 | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.886         | 1.0   | 3178  | 1.6523          | 5.3653 | 17.5968 |
| 1.8139        | 2.0   | 6356  | 1.6048          | 5.719  | 17.5714 |
| 1.7744        | 3.0   | 9534  | 1.5807          | 5.8549 | 17.57   |
| 1.759         | 4.0   | 12712 | 1.5694          | 5.9539 | 17.5614 |
| 1.7422        | 5.0   | 15890 | 1.5656          | 5.9764 | 17.5616 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["opus_books"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "ft-t5-small-with-opusbook", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "opus_books", "type": "opus_books", "config": "en-fr", "split": "train", "args": "en-fr"}, "metrics": [{"type": "bleu", "value": 5.9764, "name": "Bleu"}]}]}]}
transformers safetensors 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