metadata
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: 1.4341
- Matthews Correlation: 0.4600
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: 9.881638457643646e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 37
- 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 |
|---|---|---|---|---|
| 0.45 | 1.0 | 1069 | 0.9061 | 0.2926 |
| 0.3901 | 2.0 | 2138 | 0.7333 | 0.3877 |
| 0.2976 | 3.0 | 3207 | 0.8140 | 0.3997 |
| 0.2158 | 4.0 | 4276 | 1.1014 | 0.4422 |
| 0.0857 | 5.0 | 5345 | 1.4341 | 0.4600 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2