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
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Dataset used to train virto/repo_kook
Evaluation results
- Rouge1 on NLP-MINI-PROJECT/rabbi_kook 3.0.0self-reported0.000