---
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
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# 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