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cyberone-20250516-q2505b-ep05-instruct – AI Model by yangwooko | AlphaNeural AI
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cyberone-20250516-q2505b-ep05-instruct
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transformers
safetensors
qwen2
text-classification
generated_from_trainer
Qwen/Qwen2.5-0.5B-Instruct
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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cyberone-20250516-q2505b-ep05-instruct
This model is a fine-tuned version of
Qwen/Qwen2.5-0.5B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0435
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: 64
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 64
total_train_batch_size: 8192
total_eval_batch_size: 16
optimizer: Use 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
0.4804
0.7054
30
0.1997
0.1283
1.4232
60
0.0682
0.0668
2.1411
90
0.0588
0.0549
2.8464
120
0.0551
0.0627
3.5643
150
0.0640
0.0568
4.2821
180
0.0535
0.0454
4.9875
210
0.0435
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu126
Tokenizers 0.21.1
