stablelm-2-glados-v1

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0838

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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.9551	1.0	20	1.0149
0.6793	1.99	40	1.0838

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu118
• Datasets 2.17.0
• Tokenizers 0.15.1