minilm-finetuned-emotion
This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4249
- F1: 0.9065
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.422 | 1.0 | 250 | 1.0999 | 0.5547 |
| 0.9267 | 2.0 | 500 | 0.7411 | 0.8058 |
| 0.6629 | 3.0 | 750 | 0.5482 | 0.8749 |
| 0.5111 | 4.0 | 1000 | 0.4645 | 0.8970 |
| 0.4399 | 5.0 | 1250 | 0.4249 | 0.9065 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for diaafayed72/minilm-finetuned-emotion
Base model
microsoft/MiniLM-L12-H384-uncased