metadata

license: llama2
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: llama-2-7b-chat-hf-mathqa-formula-chinese
    results: []

llama-2-7b-chat-hf-mathqa-formula-chinese

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator 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-05
train_batch_size: 1
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 36

Training results

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1