---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-es-es
tags:
- generated_from_trainer
model-index:
- name: 20_6kmslsamples
  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. -->

# 20_6kmslsamples

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-es](https://huggingface.co/Helsinki-NLP/opus-mt-es-es) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4897
- eval_model_preparation_time: 0.0034
- eval_bleu_msl: 82.5890
- eval_bleu_asl: 0
- eval_ter_msl: 10.2984
- eval_ter_asl: 100
- eval_runtime: 6.4721
- eval_samples_per_second: 45.58
- eval_steps_per_second: 0.773
- 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 64
- 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: 30
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0