distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5990
- Matthews Correlation: 0.5548
Model description
More information needed
Intended uses & limitations
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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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5161 | 1.0 | 535 | 0.4581 | 0.4439 |
| 0.3432 | 2.0 | 1070 | 0.4606 | 0.5452 |
| 0.231 | 3.0 | 1605 | 0.5990 | 0.5548 |
| 0.1777 | 4.0 | 2140 | 0.7708 | 0.5346 |
| 0.1218 | 5.0 | 2675 | 0.8178 | 0.5388 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for NereuS28/distilbert-base-uncased-finetuned-cola
Base model
distilbert/distilbert-base-uncased