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# mbart-xomdich

This model is a fine-tuned version of [Numeronvr/mbart-xomdich](https://huggingface.co/Numeronvr/mbart-xomdich) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5442

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2092        | 1.0   | 2273  | 1.3122          |
| 0.8944        | 2.0   | 4546  | 1.3015          |
| 0.6685        | 3.0   | 6819  | 1.3608          |
| 0.4735        | 4.0   | 9092  | 1.4378          |
| 0.3463        | 5.0   | 11365 | 1.5075          |
| 0.2631        | 6.0   | 13638 | 1.5442          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "Numeronvr/mbart-xomdich", "model-index": [{"name": "mbart-xomdich", "results": []}]}
transformers safetensors mbart text2text-generation generated_from_trainer base_model:Numeronvr/mbart-xomdich autotrain_compatible endpoints_compatible region:us