Instruct-PTBR-ENUS-11M

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 20.5681
• eval_rouge1: 2.8676
• eval_rouge2: 0.8599
• eval_rougeL: 2.7183
• eval_rougeLsum: 2.7447
• eval_runtime: 80.5817
• eval_samples_per_second: 31.024
• eval_steps_per_second: 3.884
• 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Framework versions

• Transformers 4.36.2
• Pytorch 1.10.1+cu113
• Datasets 2.16.1
• Tokenizers 0.15.0