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NanQiangHF/
Meta-Llama-3-8B-Instruct-Generator

Name: Meta-Llama-3-8B-Instruct-Generator
Availability: InStock

generated_from_trainer

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

adapter

llama3

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Meta-Llama-3-8B-Instruct-Generator

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

Loss: 0.1433

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.426	0.3287	20	0.4661
0.3689	0.6574	40	0.3151
0.2887	0.9861	60	0.2654
0.2441	1.3148	80	0.2161
0.1863	1.6436	100	0.1709
0.1656	1.9723	120	0.1576
0.1538	2.3010	140	0.1491
0.1475	2.6297	160	0.1444
0.1449	2.9584	180	0.1433

Framework versions

PEFT 0.10.0
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.14.7
Tokenizers 0.19.1

NanQiangHF/Meta-Llama-3-8B-Instruct-Generator

Meta-Llama-3-8B-Instruct-Generator

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NanQiangHF/
Meta-Llama-3-8B-Instruct-Generator