IceOLMo-1B-01

This model is a fine-tuned version of allenai/OLMo-2-0425-1B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.4639

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.4375	0.0286	1000	3.4639

Framework versions

• Transformers 4.53.1
• Pytorch 2.3.1+cu118
• Datasets 3.6.0
• Tokenizers 0.21.2