metadata

base_model: llama2/Llama-2-7b-hf
tags:
  - generated_from_trainer
datasets:
  - customized
model-index:
  - name: llama2-science-7b-824
    results: []

llama2-science-7b-824

This model is a fine-tuned version of llama2/Llama-2-7b-hf on the customized 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: 1e-05
train_batch_size: 6
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 24
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.10.1
Tokenizers 0.13.3