metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-glue_cola
results: []
distilbert-base-uncased-finetuned-glue_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: 0.5366
- Accuracy: 0.7996
- Matthews Correlation: 0.5056
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: 1.778279410038923e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Matthews Correlation |
|---|---|---|---|---|---|
| 0.5681 | 1.0 | 535 | 0.4945 | 0.7670 | 0.4256 |
| 0.4204 | 2.0 | 1070 | 0.4818 | 0.8035 | 0.5106 |
| 0.269 | 3.0 | 1605 | 0.5366 | 0.7996 | 0.5056 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2