model_pathllama2-7b-LLM

This model is a fine-tuned version of stabilityai/stablelm-zephyr-3b on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0225
• eval_runtime: 44.2501
• eval_samples_per_second: 2.328
• eval_steps_per_second: 0.294
• epoch: 1.2195
• step: 250

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: 2.5e-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1
• training_steps: 500

Framework versions

• PEFT 0.11.1
• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1