nmt_only_random_head10k

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-tr-en on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.4075
• eval_bleu: 29.7605
• eval_runtime: 641.2165
• eval_samples_per_second: 4.69
• eval_steps_per_second: 2.346
• 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: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu118
• Datasets 2.4.0
• Tokenizers 0.19.1