smartmind-cyberone-20250404

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0002

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• 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
0.499	0.3504	30	0.0595
0.0364	0.7007	60	0.0291
0.0237	1.0584	90	0.0171
0.0095	1.4088	120	0.0145
0.0038	1.7591	150	0.0115
0.0097	2.1168	180	0.0110
0.0093	2.4672	210	0.0113
0.0046	2.8175	240	0.0093
0.0011	3.1752	270	0.0008
0.0001	3.5255	300	0.0003
0.001	3.8759	330	0.0004
0.0004	4.2336	360	0.0003
0.0	4.5839	390	0.0002
0.0001	4.9343	420	0.0002

Framework versions

• Transformers 4.50.3
• Pytorch 2.5.1+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1