mt5-small-finetuned-amazon-review-en-es

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: 21.1844
• eval_model_preparation_time: 0.0039
• eval_rouge1: 0.2816
• eval_rouge2: 0.0274
• eval_rougeL: 0.2839
• eval_rougeLsum: 0.2823
• eval_runtime: 44.761
• eval_samples_per_second: 46.156
• eval_steps_per_second: 5.786
• 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: 5.6e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 8

Framework versions

• Transformers 4.55.0
• Pytorch 2.6.0+cu124
• Datasets 4.0.0
• Tokenizers 0.21.4