barto_exp1_10partition_modelo_asl19900

This model is a fine-tuned version of vgaraujov/bart-base-spanish on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.1565
• eval_model_preparation_time: 0.0031
• eval_bleu_msl: 0
• eval_bleu_1_msl: 0.8756
• eval_bleu_2_msl: 0.8247
• eval_bleu_3_msl: 0.7665
• eval_bleu_4_msl: 0.6730
• eval_ter_msl: 16.5407
• eval_bleu_asl: 0
• eval_bleu_1_asl: 0.9760
• eval_bleu_2_asl: 0.9567
• eval_bleu_3_asl: 0.9332
• eval_bleu_4_asl: 0.8944
• eval_ter_asl: 2.5495
• eval_runtime: 27.8753
• eval_samples_per_second: 71.389
• eval_steps_per_second: 1.148
• epoch: 10.0
• step: 4980

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_FUSED 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 4.57.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1