tst-translation

This model is a fine-tuned version of ladoza03/tst-translation on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.1219
• eval_bleu: 30.1585
• eval_gen_len: 55.5424
• eval_runtime: 826.2423
• eval_samples_per_second: 2.441
• eval_steps_per_second: 0.306
• 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: 4e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20.0

Framework versions

• Transformers 4.41.0.dev0
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.19.1