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Qwen3-0.6B-finetune – AI Model by Mithilss | AlphaNeural AI
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Mithilss
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Qwen3-0.6B-finetune
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transformers
safetensors
qwen3
text-classification
unsloth
generated_from_trainer
unsloth/Qwen3-0.6B
finetune
text-embeddings-inference
endpoints_compatible
us
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Qwen3-0.6B-finetune
This model is a fine-tuned version of
unsloth/Qwen3-0.6B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0874
Spearman: 0.1049
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Spearman
0.1666
0.2458
1000
0.1346
0.0517
0.2532
0.4916
2000
0.0882
0.0918
0.0583
0.7375
3000
0.0913
0.1022
0.1103
0.9833
4000
0.0874
0.1049
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.1
