mt5-small-finetuned-en-to-hi

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 5.5348
• eval_bleu: 0.0
• eval_gen_len: 2.0828
• eval_runtime: 96.4745
• eval_samples_per_second: 68.091
• eval_steps_per_second: 2.135
• epoch: 0.05
• step: 1000

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: 32
• eval_batch_size: 32
• 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 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0