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smartmind-cyberone-20250401 – AI Model by yangwooko | AlphaNeural AI
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smartmind-cyberone-20250401
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transformers
tensorboard
safetensors
qwen2
text-classification
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
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smartmind-cyberone-20250401
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1030
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: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 16
total_train_batch_size: 256
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_with_restarts
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0987
1.896
30
0.3167
0.0177
3.768
60
0.1030
Framework versions
Transformers 4.50.3
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.1
