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stlee9048/
Llama-3.1-8B-Instruct_FT

Name: Llama-3.1-8B-Instruct_FT
Availability: InStock

generated_from_trainer

meta-llama/Llama-3.1-8B-Instruct

adapter

llama3.1

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Llama-3.1-8B-Instruct_FT

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

Loss: 0.8396

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: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
4.7739	0.0170	10	4.0561
2.8826	0.0340	20	2.7339
2.1963	0.0510	30	1.9088
0.7378	0.0679	40	0.9899
1.1619	0.0849	50	0.8700
1.2501	0.1019	60	0.8633
1.3083	0.1189	70	0.8459
0.7243	0.1359	80	0.8478
1.2093	0.1529	90	0.8476
0.5714	0.1699	100	0.8396

Framework versions

PEFT 0.10.0
Transformers 4.44.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1

stlee9048/Llama-3.1-8B-Instruct_FT

Llama-3.1-8B-Instruct_FT

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

stlee9048/
Llama-3.1-8B-Instruct_FT