ru-chv-marian-bt

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model

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