mt5-small-finetuned-amazon-en-es

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mt5-small-finetuned-amazon-en-es

This model is a fine-tuned version of google/mt5-small on the amazon_reviews_multi dataset (https://huggingface.co/datasets/amazon_reviews_multi), with a filter applied to reviews about books.

The filter_books function is used to filter examples in the data and returns only those that belong to the "book" or "digital ebook purchase" category.

It achieves the following results on the evaluation set:

• Loss: 3.0270
• Rouge1: 16.8614
• Rouge2: 8.3352
• Rougel: 16.5595
• Rougelsum: 16.5755

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

Training results

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cpu
• Datasets 2.14.5
• Tokenizers 0.13.3