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website_prediction_model_lora – AI Model by darwinsfavorite | AlphaNeural AI
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website_prediction_model_lora
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peft
safetensors
generated_from_trainer
Qwen/Qwen2-0.5B-Instruct
adapter
apache-2.0
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website_prediction_model_lora
This model is a fine-tuned version of
Qwen/Qwen2-0.5B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4078
Accuracy: 0.9467
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: 8
eval_batch_size: 8
seed: 42
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: cosine
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
84
0.5911
0.8
No log
2.0
168
0.4506
0.92
No log
3.0
252
0.2080
0.96
No log
4.0
336
0.4371
0.9467
No log
5.0
420
0.4078
0.9467
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
