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Final_Model – AI Model by Vineeshsuiii | AlphaNeural AI
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Vineeshsuiii
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Final_Model
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.2-3B-Instruct
adapter
llama3.2
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Final_Model
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8592
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: 3e-05
train_batch_size: 1
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 6
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.9709
0.9995
231
0.9373
0.9107
1.9989
462
0.8998
0.8754
2.9984
693
0.8803
0.8334
3.9978
924
0.8679
0.8159
4.9973
1155
0.8614
0.8283
5.9968
1386
0.8592
Framework versions
PEFT 0.13.2
Transformers 4.46.2
Pytorch 2.0.1+cu117
Datasets 3.1.0
Tokenizers 0.20.3
