metadata
base_model: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
library_name: peft
license: other
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: llama3.1_lora_instruct_add_train
results: []
llama3.1_lora_instruct_add_train
This model is a fine-tuned version of unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit on the instruct_add_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_ratio: 0.1
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.13.1
- Transformers 4.44.2
- Pytorch 2.3.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1