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defect-classification-llama-baseline-05-epochs – AI Model by ppak10 | AlphaNeural AI
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defect-classification-llama-baseline-05-epochs
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transformers
safetensors
generated_from_trainer
meta-llama/Llama-3.2-1B
finetune
llama3.2
endpoints_compatible
us
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defect-classification-llama-baseline-05-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: 0.3336
Accuracy: 0.8916
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7664
1.0
1062
0.6945
0.8160
0.4911
2.0
2124
0.4764
0.8587
0.4172
3.0
3186
0.3906
0.8761
0.3563
4.0
4248
0.3557
0.8858
0.3379
5.0
5310
0.3336
0.8916
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
