virto/repo_kook

tst-summarizationbetter

This model is a fine-tuned version of google/mt5-small on the NLP-MINI-PROJECT/rabbi_kook 3.0.0 dataset. It achieves the following results on the evaluation set:

• Loss: 2.8577
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Rougelsum: 0.0
• Gen Len: 53.0

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: 5e-05
• 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: 3.0

Training results

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.8.1+cu111
• Datasets 2.9.0
• Tokenizers 0.11.0