---
library_name: transformers
license: mit
base_model: facebook/mbart-large-50
tags:
- generated_from_trainer
model-index:
- name: results
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# results

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6143
- eval_sacrebleu: 0.6840
- eval_bleu: 0.0068
- eval_rouge1: 0.0505
- eval_rouge2: 0.0185
- eval_rougeL: 0.0461
- eval_rougeLsum: 0.0454
- eval_meteor: 0.0400
- eval_ter: 101.0724
- eval_runtime: 105.8182
- eval_samples_per_second: 1.342
- eval_steps_per_second: 0.671
- epoch: 0.7148
- step: 480

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 700
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3