metadata
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: []
20_6kmslsamples
This model is a fine-tuned version of 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