metadata

license: llama3.1
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
model-index:
  - name: llama3.1_8b_bwgenerator
    results: []

llama3.1_8b_bwgenerator

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1186

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.7241	0.1680	40	0.2744
0.2351	0.3359	80	0.2017
0.1739	0.5039	120	0.1441
0.1311	0.6718	160	0.1237
0.1209	0.8398	200	0.1186

Framework versions

PEFT 0.10.0
Transformers 4.44.0
Pytorch 2.3.0+cu121
Datasets 2.14.7
Tokenizers 0.19.1