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---
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
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
This model is a fine-tuned version of [Qwen/Qwen1.5-MoE-A2.7B](https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8781
- Accuracy: 0.5357
## 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: 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: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 5.4785 | 0.0006 | 100 | 6.6629 | 0.5689 |
| 4.8644 | 0.0013 | 200 | 10.6619 | 0.5316 |
| 4.5014 | 0.0019 | 300 | 3.0574 | 0.5299 |
| 3.3262 | 0.0025 | 400 | 3.2657 | 0.4643 |
| 2.7274 | 0.0032 | 500 | 2.0543 | 0.5314 |
| 2.3305 | 0.0038 | 600 | 1.9673 | 0.4682 |
| 2.4483 | 0.0044 | 700 | 2.7203 | 0.5357 |
| 3.201 | 0.0051 | 800 | 3.5143 | 0.5357 |
| 2.8675 | 0.0057 | 900 | 2.8781 | 0.5357 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0
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