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MiniLM-L12-H384-uncased__sst2__all-train
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: 0.2632
- Accuracy: 0.9055
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.4183 | 1.0 | 433 | 0.3456 | 0.8720 |
0.2714 | 2.0 | 866 | 0.2632 | 0.9055 |
0.2016 | 3.0 | 1299 | 0.3357 | 0.8990 |
0.1501 | 4.0 | 1732 | 0.4474 | 0.8863 |
0.1119 | 5.0 | 2165 | 0.3998 | 0.8979 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu102
- Datasets 1.17.0
- Tokenizers 0.10.3