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# test_2

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5916

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4797        | 0.5   | 500  | 0.7784          |
| 0.7324        | 1.0   | 1000 | 0.6798          |
| 0.5828        | 1.5   | 1500 | 0.6345          |
| 0.5364        | 2.0   | 2000 | 0.6069          |
| 0.4332        | 2.5   | 2500 | 0.5981          |
| 0.4214        | 3.0   | 3000 | 0.5916          |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/m2m100_418M", "model-index": [{"name": "test_2", "results": []}]}
transformers safetensors m2m_100 text2text-generation generated_from_trainer base_model:facebook/m2m100_418M license:mit autotrain_compatible endpoints_compatible region:us