mt5-small-finetuned-amazon-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: 22.4140
• eval_rouge1: 0.1884
• eval_rouge2: 0.0
• eval_rougeL: 0.1884
• eval_rougeLsum: 0.1884
• eval_runtime: 6.4772
• eval_samples_per_second: 36.744
• eval_steps_per_second: 1.235
• 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: 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: 8

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.13.3