metadata
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: roberta-base-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
args: cola
metrics:
- name: Matthews Correlation
type: matthews_correlation
value: 0.5960380981891474
roberta-base-cola
This model is a fine-tuned version of roberta-base on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.3829
- Matthews Correlation: 0.5960
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5446 | 0.93 | 500 | 0.4946 | 0.5260 |
| 0.3638 | 1.87 | 1000 | 0.3829 | 0.5960 |
| 0.2658 | 2.8 | 1500 | 0.6063 | 0.6018 |
| 0.2097 | 3.74 | 2000 | 0.7701 | 0.5931 |
| 0.1806 | 4.67 | 2500 | 0.8445 | 0.6181 |
| 0.1405 | 5.61 | 3000 | 0.8823 | 0.5978 |
| 0.1091 | 6.54 | 3500 | 1.0399 | 0.5806 |
| 0.0758 | 7.48 | 4000 | 1.0440 | 0.6220 |
| 0.0625 | 8.41 | 4500 | 1.1968 | 0.5981 |
| 0.0456 | 9.35 | 5000 | 1.2408 | 0.6008 |
Framework versions
- Transformers 4.21.3
- Pytorch 1.7.1
- Datasets 1.18.3
- Tokenizers 0.11.6