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llama_classification – AI Model by maziyaramini | AlphaNeural AI
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maziyaramini
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llama_classification
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.2-1B
adapter
llama3.2
us
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llama_classification
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: 0.2167
Accuracy: 0.94
F1: 0.9400
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: 0.0002
train_batch_size: 1
eval_batch_size: 1
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: 100
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.1781
1.0
1238
0.2821
0.9282
0.9281
0.1088
2.0
2476
0.2167
0.94
0.9400
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
