mt5-small-finetuned-beer-en

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

• eval_loss: 16.1352
• eval_rouge1: 3.6749
• eval_rouge2: 0.0
• eval_rougeL: 3.6749
• eval_rougeLsum: 3.6232
• eval_runtime: 60.7305
• eval_samples_per_second: 1.136
• eval_steps_per_second: 0.296
• 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: 0.01
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2