metadata

license: other
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: train_2024-07-16-09-05-28_llama2
    results: []

train_2024-07-16-09-05-28_llama2

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the truth_train_0716 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: 5e-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 5.0

Training results

Framework versions

Transformers 4.42.3
Pytorch 2.3.0a0+ebedce2
Datasets 2.20.0
Tokenizers 0.19.1