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ru-chv-marian-bt – AI Model by alexantonov | AlphaNeural AI
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ru-chv-marian-bt
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
endpoints_compatible
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This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 3.1050
eval_bleu: 26.6140
eval_gen_len: 55.8949
eval_runtime: 37.177
eval_samples_per_second: 53.77
eval_steps_per_second: 0.861
epoch: 6.1655
step: 70009
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: 0.0005
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: inverse_sqrt
lr_scheduler_warmup_steps: 8000
num_epochs: 10
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1
Framework versions
Transformers 5.6.2
Pytorch 2.5.1+cu121
Datasets 4.8.5
Tokenizers 0.22.2
