metadata

base_model: meta-llama/Llama-2-7b-chat-hf
tags:
  - generated_from_trainer
model-index:
  - name: llama-7-chat-instruction-int4-fc-op_glaive-sft_test
    results: []

llama-7-chat-instruction-int4-fc-op_glaive-sft_test

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None 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: 0.0002
train_batch_size: 3
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 6
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1

Training results

Framework versions

Transformers 4.34.0
Pytorch 2.0.1
Datasets 2.13.0
Tokenizers 0.14.1