t5-finetuned-en-to-ru-eval1

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.6224
• eval_bleu: 0.0
• eval_gen_len: 7.656
• eval_runtime: 5.8186
• eval_samples_per_second: 85.931
• eval_steps_per_second: 1.89
• 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: 48
• eval_batch_size: 48
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2