Grogros-llama-2-7b-hf-weightsmark-std0.005-key0-ft-learnability_adv

This model is a fine-tuned version of Grogros/llama-2-7b-hf-weightsmark-std0.005-key0 on the openwebtext 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: 1e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 2500

Training results

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.1.post303
• Datasets 3.2.0
• Tokenizers 0.20.4