metadata
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: []
fine_tuned_per_domain_balanced_moe
This model is a fine-tuned version of Qwen/Qwen1.5-MoE-A2.7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.5343
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 |
|---|---|---|---|---|
| 0.2979 | 0.0006 | 100 | nan | 0.5343 |
| 0.0 | 0.0013 | 200 | nan | 0.5343 |
| 0.0 | 0.0019 | 300 | nan | 0.5343 |
| 0.0 | 0.0025 | 400 | nan | 0.5343 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0