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barto_exp1_10partition_modelo_asl19900 – AI Model by vania2911 | AlphaNeural AI
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barto_exp1_10partition_modelo_asl19900
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
vgaraujov/bart-base-spanish
finetune
apache-2.0
endpoints_compatible
us
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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
