metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results: []
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: 0.7916
- Matthews Correlation: 0.5309
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.519 | 1.0 | 535 | 0.4526 | 0.4348 |
| 0.344 | 2.0 | 1070 | 0.4732 | 0.4945 |
| 0.2344 | 3.0 | 1605 | 0.6461 | 0.5073 |
| 0.1778 | 4.0 | 2140 | 0.7916 | 0.5309 |
| 0.1301 | 5.0 | 2675 | 0.8300 | 0.5288 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.0