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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: Qwen/Qwen3-0.6B |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: Qwen3-0.6B-classifier |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Qwen3-0.6B-classifier |
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This model is a fine-tuned version of [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2290 |
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- Accuracy: 0.9236 |
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- F1: 0.8515 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:| |
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| No log | 0 | 0 | 0.7202 | 0.6830 | 0.2254 | |
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| No log | 0.2020 | 79 | 0.3226 | 0.8631 | 0.7293 | |
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| No log | 0.4041 | 158 | 0.2625 | 0.8948 | 0.7955 | |
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| No log | 0.6061 | 237 | 0.2433 | 0.9020 | 0.7964 | |
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| No log | 0.8082 | 316 | 0.2294 | 0.8919 | 0.7774 | |
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| No log | 1.0102 | 395 | 0.2312 | 0.9078 | 0.8232 | |
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| No log | 1.2123 | 474 | 0.3678 | 0.8905 | 0.8 | |
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| 0.3067 | 1.4143 | 553 | 0.2314 | 0.9164 | 0.8362 | |
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| 0.3067 | 1.6164 | 632 | 0.2346 | 0.9207 | 0.8415 | |
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| 0.3067 | 1.8184 | 711 | 0.2290 | 0.9236 | 0.8515 | |
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### Framework versions |
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- Transformers 4.53.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.2 |
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