This model is a fine-tuned version of unsloth/llama-3-70b-Instruct-bnb-4bit on the patents_G06F17-30_cla_abs_det_sample_940_balance_train_llama-factory dataset. It achieves the following results on the evaluation set:

Loss: 0.3383

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3548	1.3378	100	0.3388
0.271	2.6756	200	0.3383

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

bzhang0426/LLaMA3-70B-qlora-bnb-G06F17-30

sft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bzhang0426/
LLaMA3-70B-qlora-bnb-G06F17-30