minilm-finetuned-emotion
This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.3891
- F1: 0.9118
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 |
---|---|---|---|---|
1.3957 | 1.0 | 250 | 1.0134 | 0.6088 |
0.8715 | 2.0 | 500 | 0.6892 | 0.8493 |
0.6085 | 3.0 | 750 | 0.4943 | 0.8920 |
0.4626 | 4.0 | 1000 | 0.4096 | 0.9078 |
0.3961 | 5.0 | 1250 | 0.3891 | 0.9118 |
Framework versions
- Transformers 4.12.3
- Pytorch 1.6.0
- Datasets 1.15.1
- Tokenizers 0.10.3
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