metadata
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/bert_tiny_lda_100_v1_book
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: bert_tiny_lda_100_v1_book_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: 0.19955176173637962
- name: Accuracy
type: accuracy
value: 0.693192720413208
bert_tiny_lda_100_v1_book_cola
This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_100_v1_book on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.5875
- Matthews Correlation: 0.1996
- Accuracy: 0.6932
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: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy |
|---|---|---|---|---|---|
| 0.6112 | 1.0 | 34 | 0.6112 | 0.0 | 0.6913 |
| 0.5906 | 2.0 | 68 | 0.5992 | 0.0844 | 0.6951 |
| 0.5465 | 3.0 | 102 | 0.5875 | 0.1996 | 0.6932 |
| 0.4903 | 4.0 | 136 | 0.5887 | 0.1992 | 0.6913 |
| 0.4275 | 5.0 | 170 | 0.6417 | 0.2174 | 0.7095 |
| 0.3786 | 6.0 | 204 | 0.6495 | 0.2711 | 0.7210 |
| 0.3295 | 7.0 | 238 | 0.6801 | 0.2401 | 0.7028 |
| 0.2891 | 8.0 | 272 | 0.7395 | 0.2701 | 0.7152 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3