metadata
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
config: cola
split: validation
args: cola
metrics:
- name: Matthews Correlation
type: matthews_correlation
value: 0.5992215466535732
bert-base-uncased-cola
This model is a fine-tuned version of bert-base-uncased on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.4136
- Matthews Correlation: 0.5992
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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.4952 | 1.0 | 67 | 0.4678 | 0.5145 |
| 0.2907 | 2.0 | 134 | 0.4136 | 0.5992 |
| 0.1654 | 3.0 | 201 | 0.5372 | 0.5727 |
| 0.1187 | 4.0 | 268 | 0.4595 | 0.5838 |
| 0.0901 | 5.0 | 335 | 0.6232 | 0.5887 |
| 0.0675 | 6.0 | 402 | 0.6140 | 0.5837 |
| 0.0596 | 7.0 | 469 | 0.7469 | 0.6006 |
| 0.0502 | 8.0 | 536 | 0.6665 | 0.5905 |
| 0.0391 | 9.0 | 603 | 1.0236 | 0.5550 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2