textbookbig14

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.3723

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: 0.003
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 1

Training results

Training Loss	Epoch	Step	Validation Loss
2.4451	0.0171	1	2.3723

Framework versions

• Transformers 4.40.1
• Pytorch 2.1.1+cu121
• Datasets 2.14.5
• Tokenizers 0.19.1

Training procedure

Framework versions

• PEFT 0.6.2