Sheared-Llama-1.3b-koalpaca-instruction-ft-lora-240328-1

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

• Loss: 2.3978

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: 8
• eval_batch_size: 8
• seed: 100
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 200
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.3713	0.99	148	2.4699
2.3834	2.0	297	2.4172
2.2654	3.0	446	2.3985
2.186	4.0	595	2.3957
2.1947	4.97	740	2.3978

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.2.0+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2