fine-tune-llama-3.1

kshitij1188/fine-tune-llama-3.1

fine-tune-llama-3.1 is a machine learning model from kshitij1188. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.1.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

18% of all-time downloads

All-time downloads

Public

Repo size

2.2 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors2.2 GB · 100%

At a glance

Library: peft
License: llama3.1
Access: Public
Created: Sep 24, 2024
Updated: Sep 25, 2024
SHA: 02000a94

Base models

Model card

From the Hugging Face model README

fine-tune-llama-3.1

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

Loss: 1.2970

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.01
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0244	10	1.3896
No log	0.0487	20	1.3412
1.3817	0.0731	30	1.3219
1.3817	0.0975	40	1.3223
1.3009	0.1219	50	1.3352
1.3009	0.1462	60	1.3165
1.3009	0.1706	70	1.3069
1.2783	0.1950	80	1.3015
1.2783	0.2193	90	1.2987
1.2929	0.2437	100	1.2970

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.0.0+nv23.05
Datasets 2.15.0
Tokenizers 0.19.1

Library: peft
License: llama3.1
Created: Sep 24, 2024
Updated: Sep 25, 2024