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raulgdp/
Meta-Llama-3-8B-009

Name: Meta-Llama-3-8B-009
Availability: InStock

peft

safetensors

generated_from_trainer

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

adapter

llama3

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Meta-Llama-3-8B-009

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2788

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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5521	0.9927	102	0.5792
0.4385	1.9927	204	0.4978
0.464	2.9927	306	0.4432
0.4133	3.9927	408	0.3984
0.3496	4.9927	510	0.3579
0.3212	5.9927	612	0.3265
0.2927	6.9927	714	0.3045
0.2645	7.9927	816	0.2904
0.2538	8.9927	918	0.2817
0.2347	9.9927	1020	0.2788

Framework versions

PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.5.1
Tokenizers 0.21.1

raulgdp/Meta-Llama-3-8B-009

Meta-Llama-3-8B-009

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

raulgdp/
Meta-Llama-3-8B-009