metadata
license: other
base_model: NousResearch/Llama-2-7b-chat-hf
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: 2023-11-29-06-20-56
results: []
datasets:
- A2H0H0R1/alpaca_data_gpt4_2
2023-11-29-06-20-56
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on the alpaca_data_gpt4_2 dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
https://huggingface.co/A2H0H0R1/llama2-7B-gpt4/blob/main/training_loss.png
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1