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exp1_10partition_modeloorig – AI Model by vania2911 | AlphaNeural AI
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exp1_10partition_modeloorig
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transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-es-es
finetune
apache-2.0
endpoints_compatible
us
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exp1_10partition_modeloorig
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: 1.4402
eval_model_preparation_time: 0.0032
eval_bleu_msl: 100.0000
eval_bleu_1_msl: 0.44
eval_bleu_2_msl: 0.0121
eval_bleu_3_msl: 0.0039
eval_bleu_4_msl: 0.0020
eval_ter_msl: 100
eval_bleu_asl: 0
eval_bleu_1_asl: 0
eval_bleu_2_asl: 0
eval_bleu_3_asl: 0
eval_bleu_4_asl: 0
eval_ter_asl: 100
eval_runtime: 6.2009
eval_samples_per_second: 48.38
eval_steps_per_second: 0.806
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 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
