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