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qwen3-4B-finetuned-3e – AI Model by rhaunschild | AlphaNeural AI
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rhaunschild
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qwen3-4B-finetuned-3e
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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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qwen3-4B-finetuned-3e
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: 1.6005
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: 8
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.8078
1.0
309
1.7654
1.5556
2.0
618
1.6169
1.5137
3.0
927
1.6005
Framework versions
Transformers 5.14.1
Pytorch 2.13.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2
