dbw_240915

inno4g/dbw_240915

dbw_240915 is a machine learning model from inno4g. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.

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

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Hugging Face

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At a glance

License: llama3
Model type: llama
Access: Public
Created: Sep 17, 2024
Updated: Sep 17, 2024
SHA: 844eb6ba

Base models

meta-llama/Meta-Llama-3-8B-Instruct

Model card

From the Hugging Face model README

dbw_240915

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the dbw_240914 dataset. It achieves the following results on the evaluation set:

Loss: 0.9119

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 4
total_eval_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.107	0.2222	100	1.1005
1.0303	0.4444	200	1.0129
0.9439	0.6667	300	0.9523
0.8362	0.8889	400	0.9151

Framework versions

Transformers 4.43.3
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: llama
License: llama3
Created: Sep 17, 2024
Updated: Sep 17, 2024