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--- |
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library_name: transformers |
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license: other |
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base_model: Qwen/Qwen1.5-MoE-A2.7B |
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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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model-index: |
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- name: fine_tuned_per_domain_balanced_moe_lr |
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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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# fine_tuned_per_domain_balanced_moe_lr |
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This model is a fine-tuned version of [Qwen/Qwen1.5-MoE-A2.7B](https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6637 |
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- Accuracy: 0.8800 |
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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: 5e-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 2.2077 | 0.0029 | 500 | 1.9021 | 0.8317 | |
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| 0.9585 | 0.0057 | 1000 | 2.2812 | 0.8299 | |
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| 1.479 | 0.0086 | 1500 | 1.5268 | 0.8066 | |
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| 1.1161 | 0.0114 | 2000 | 0.9974 | 0.8550 | |
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| 0.8147 | 0.0143 | 2500 | 0.6406 | 0.8926 | |
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| 1.4377 | 0.0172 | 3000 | 1.5956 | 0.8156 | |
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| 0.6541 | 0.0200 | 3500 | 0.9456 | 0.8720 | |
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| 0.9445 | 0.0229 | 4000 | 0.6637 | 0.8800 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.6.0+cu126 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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