bloom-560m-hellaswag

This model is a fine-tuned version of bigscience/bloom-560m on the None dataset.

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	397	2.4762

Framework versions

• Transformers 4.26.1
• Pytorch 2.0.0+cu117
• Datasets 2.10.1
• Tokenizers 0.13.2