mt5-base-en-ru

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7194
• Bleu: 14.3528
• Gen Len: 17.8655

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 10
• total_train_batch_size: 160
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.5319	1.0	9641	0.8010	14.0075	17.8566
0.5903	2.0	19282	0.7652	14.268	17.8691
0.6942	3.0	28923	0.7194	14.3528	17.8655

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.2+cu113
• Datasets 1.18.3
• Tokenizers 0.11.0