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qwen3-finetuned – AI Model by botanical1058 | AlphaNeural AI
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botanical1058
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qwen3-finetuned
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transformers
safetensors
qwen3
text-classification
generated_from_trainer
Qwen/Qwen3-0.6B
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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qwen3-finetuned
This model is a fine-tuned version of
Qwen/Qwen3-0.6B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1552
Accuracy: 0.9651
Precision: 0.9654
Recall: 0.9651
F1: 0.9651
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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
Accuracy
Precision
Recall
F1
1.3385
1.0
49
0.1535
0.9535
0.9543
0.9535
0.9534
0.5249
2.0
98
0.1429
0.9535
0.9535
0.9535
0.9535
0.0484
3.0
147
0.1552
0.9651
0.9654
0.9651
0.9651
Framework versions
Transformers 5.10.2
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
