experiments500c

trungtienluong/experiments500c

experiments500c is a machine learning model from trungtienluong. 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 llama2.

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

Downloads · 30 days

50% of all-time downloads

All-time downloads

Public

Repo size

160 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors160 MB · 100%

At a glance

Library: peft
License: llama2
Access: Public
Created: Jun 3, 2024
Updated: Jun 3, 2024
SHA: 81339640

Base models

vilm/vinallama-7b-chat

Model card

From the Hugging Face model README

experiments

This model is a fine-tuned version of vilm/vinallama-7b-chat on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4668

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3854	0.7	10	0.4145
0.3751	1.4	20	0.3999
0.3457	2.11	30	0.3857
0.324	2.81	40	0.3821
0.2329	3.51	50	0.3845
0.2332	4.21	60	0.3878
0.2211	4.91	70	0.3929
0.1682	5.61	80	0.4093
0.1503	6.32	90	0.4416
0.1439	7.02	100	0.4299
0.1299	7.72	110	0.4648
0.1074	8.42	120	0.4574
0.099	9.12	130	0.4655
0.1078	9.82	140	0.4668

Framework versions

PEFT 0.11.1
Transformers 4.36.0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.15.2

Library: peft
License: llama2
Created: Jun 3, 2024
Updated: Jun 3, 2024