metadata
base_model: unsloth/llama-3-8b-bnb-4bit
library_name: peft
license: other
tags:
- llama-factory
- lora
- unsloth
- generated_from_trainer
model-index:
- name: SFT_train_2024-06-11-13-00-00
results: []
SFT_train_2024-06-11-13-00-00
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the CEIA_SFT_INIT_Train 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1