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Qwen2-0.5B-UZB-Custom – AI Model by nurik0210 | AlphaNeural AI
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nurik0210
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Qwen2-0.5B-UZB-Custom
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safetensors
qwen2
generated_from_trainer
Qwen/Qwen2-0.5B
finetune
apache-2.0
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Qwen2-0.5B-UZB-Custom
This model is a fine-tuned version of
Qwen/Qwen2-0.5B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8950
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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.5724
0.9915
29
2.1235
1.9765
1.9829
58
1.9099
1.9616
2.9744
87
1.8950
Framework versions
Transformers 4.43.3
Pytorch 2.8.0.dev20250521+cu128
Datasets 2.20.0
Tokenizers 0.19.1
