transformers safetensors mbart text2text-generation generated_from_trainer base_model:facebook/mbart-large-50-many-to-many-mmt base_model:finetune:facebook/mbart-large-50-many-to-many-mmt autotrain_compatible endpoints_compatible region:us
---
base_model: facebook/mbart-large-50-many-to-many-mmt
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: SAWIT_Translation_Model
  results: []
---

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# SAWIT_Translation_Model

This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 11.6095
- eval_model_preparation_time: 0.0068
- eval_runtime: 54.6327
- eval_samples_per_second: 0.22
- eval_steps_per_second: 0.037
- step: 0

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0
