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Qwen3-wiki-mlop1 – AI Model by Maorb23 | AlphaNeural AI
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Maorb23
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Qwen3-wiki-mlop1
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
Qwen/Qwen3-4B
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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Qwen3-wiki-mlop1
This model is a fine-tuned version of
Qwen/Qwen3-4B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.0847
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-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 8
total_eval_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.05
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
2.3101
0.0561
100
2.2646
2.2156
0.1122
200
2.1251
2.0129
0.1683
300
2.0902
2.0186
0.2243
400
2.0847
2.1216
0.2804
500
2.0847
Framework versions
Transformers 5.9.0
Pytorch 2.10.0a0+b4e4ee81d3.nv25.12
Datasets 4.8.5
Tokenizers 0.22.1
