| | --- |
| | library_name: transformers |
| | license: other |
| | base_model: Qwen/Qwen1.5-MoE-A2.7B |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: fine_tuned_per_domain_balanced_moe_lr |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # fine_tuned_per_domain_balanced_moe_lr |
| |
|
| | 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. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6637 |
| | - Accuracy: 0.8800 |
| |
|
| | ## 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-06 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 1 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | | 2.2077 | 0.0029 | 500 | 1.9021 | 0.8317 | |
| | | 0.9585 | 0.0057 | 1000 | 2.2812 | 0.8299 | |
| | | 1.479 | 0.0086 | 1500 | 1.5268 | 0.8066 | |
| | | 1.1161 | 0.0114 | 2000 | 0.9974 | 0.8550 | |
| | | 0.8147 | 0.0143 | 2500 | 0.6406 | 0.8926 | |
| | | 1.4377 | 0.0172 | 3000 | 1.5956 | 0.8156 | |
| | | 0.6541 | 0.0200 | 3500 | 0.9456 | 0.8720 | |
| | | 0.9445 | 0.0229 | 4000 | 0.6637 | 0.8800 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.49.0 |
| | - Pytorch 2.6.0+cu126 |
| | - Datasets 3.3.2 |
| | - Tokenizers 0.21.0 |
| |
|
