metadata

license: apache-2.0
base_model: princeton-nlp/Sheared-LLaMA-1.3B
tags:
  - generated_from_trainer
model-index:
  - name: Sheared-LLaMA-1.3B-sft-lora
    results: []

Sheared-LLaMA-1.3B-sft-lora

This model is a fine-tuned version of princeton-nlp/Sheared-LLaMA-1.3B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3605

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
distributed_type: multi-GPU
gradient_accumulation_steps: 128
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 272

Training results

Training Loss	Epoch	Step	Validation Loss
1.3556	0.67	272	1.3605

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1