metadata
library_name: transformers
license: mit
base_model: microsoft/Multilingual-MiniLM-L12-H384
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: m-minilm-l12-h384-dra-mal-ai-gen-review-classification-finetune
results: []
m-minilm-l12-h384-dra-mal-ai-gen-review-classification-finetune
This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4150
- Accuracy: 0.875
- F1: 0.8750
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6937 | 0.4 | 2 | 0.6906 | 0.5 | 0.3333 |
| 0.6895 | 0.8 | 4 | 0.6826 | 0.5 | 0.3333 |
| 0.6787 | 1.2 | 6 | 0.6546 | 0.9 | 0.8992 |
| 0.6425 | 1.6 | 8 | 0.5996 | 0.8875 | 0.8873 |
| 0.5733 | 2.0 | 10 | 0.5217 | 0.9062 | 0.9062 |
| 0.4975 | 2.4 | 12 | 0.4426 | 0.9375 | 0.9374 |
| 0.4349 | 2.8 | 14 | 0.4180 | 0.9125 | 0.9118 |
| 0.3776 | 3.2 | 16 | 0.3332 | 0.9688 | 0.9687 |
| 0.3462 | 3.6 | 18 | 0.3000 | 0.975 | 0.9750 |
| 0.303 | 4.0 | 20 | 0.2902 | 0.9563 | 0.9562 |
| 0.2832 | 4.4 | 22 | 0.2852 | 0.9563 | 0.9562 |
| 0.274 | 4.8 | 24 | 0.2749 | 0.9563 | 0.9562 |
| 0.2508 | 5.2 | 26 | 0.2688 | 0.9563 | 0.9562 |
| 0.2489 | 5.6 | 28 | 0.2640 | 0.9563 | 0.9562 |
| 0.246 | 6.0 | 30 | 0.2634 | 0.9563 | 0.9562 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0