Greg-Sentiment-classifier
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: 0.8368
- F1: 0.6564
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.9048 | 0.5 | 500 | 0.8963 | 0.6318 |
| 0.8732 | 1.0 | 1000 | 0.8611 | 0.6437 |
| 0.8592 | 1.5 | 1500 | 0.9093 | 0.6486 |
| 0.8314 | 2.01 | 2000 | 0.8242 | 0.6542 |
| 0.8114 | 2.51 | 2500 | 0.8368 | 0.6564 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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Base model
microsoft/MiniLM-L12-H384-uncased