bloom-better-riddles
This model is a fine-tuned version of bigscience/bloom-560m on the pszemraj/riddlesense_plusplus dataset. It achieves the following results on the evaluation set:
- Loss: 4.8107
- Accuracy: 0.6594
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10.0
Training results
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.2
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Dataset used to train AleBurzio/bloom-better-riddles
Evaluation results
- Accuracy on pszemraj/riddlesense_plusplusself-reported0.659