metadata
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
datasets:
- generator
model-index:
- name: llama2-7b-sft-lora
results: []
llama2-7b-sft-lora
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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 4
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- 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
- training_steps: 2000
Framework versions
- Transformers 4.41.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1
Training procedure
Framework versions
- PEFT 0.6.1