metadata

base_model: unsloth/Meta-Llama-3.1-8B-bnb-4bit
library_name: peft
license: llama3.1
tags:
  - trl
  - sft
  - unsloth
  - generated_from_trainer
model-index:
  - name: big_cc_run-FineLlama-3.1-8B
    results: []

big_cc_run-FineLlama-3.1-8B

This model is a fine-tuned version of unsloth/Meta-Llama-3.1-8B-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7310

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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.6386	0.6010	2000	1.6279
1.4331	1.2019	4000	1.6245
1.4318	1.8029	6000	1.6134
1.1633	2.4038	8000	1.7310

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1