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mt5-small-rabbi-kook

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

• Loss: 2.7677
• Gen Len: 115.8184

Model description

Summarization model of fine-tuned mt5-small with Rabbi-Kook paragraphs and summaries.

Intended uses & limitations

Summarization of Rabbi-Kook style paragraphs.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.11.0