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