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# en-to-es-trans-with-bart

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0355
- Bleu: 2.1888
- Gen Len: 18.6278

## 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 2.4648        | 1.0   | 4674 | 2.1509          | 1.937  | 18.6399 |
| 2.2417        | 2.0   | 9348 | 2.0355          | 2.1888 | 18.6278 |


### 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"], "datasets": ["opus_books"], "metrics": ["bleu"], "base_model": "facebook/bart-base", "model-index": [{"name": "en-to-es-trans-with-bart", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "opus_books", "type": "opus_books", "config": "en-es", "split": "train", "args": "en-es"}, "metrics": [{"type": "bleu", "value": 2.1888, "name": "Bleu"}]}]}]}
transformers tensorboard safetensors bart text2text-generation generated_from_trainer dataset:opus_books base_model:facebook/bart-base license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us