defect-classification-llama-baseline-10-epochs – AI Model by ppak10 | AlphaNeural AI

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ppak10/
defect-classification-llama-baseline-10-epochs

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meta-llama/Llama-3.2-1B

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defect-classification-llama-baseline-10-epochs

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2633
Accuracy: 0.9165

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: 2e-05
train_batch_size: 512
eval_batch_size: 512
seed: 42
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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8939	1.0	1062	0.8390	0.8097
0.5659	2.0	2124	0.5772	0.8416
0.4494	3.0	3186	0.5062	0.8610
0.3925	4.0	4248	0.4691	0.8758
0.3508	5.0	5310	0.3363	0.8998
0.3107	6.0	6372	0.3099	0.9026
0.2938	7.0	7434	0.2935	0.9087
0.2864	8.0	8496	0.2787	0.9124
0.2675	9.0	9558	0.2777	0.9105
0.2673	10.0	10620	0.2633	0.9165

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0