---
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   |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0