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---
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/bert_base_lda_20_v1_book
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: bert_base_lda_20_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: 0.47428224772244454
- name: Accuracy
type: accuracy
value: 0.7890700101852417
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_base_lda_20_v1_book_cola
This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1_book](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1_book) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4867
- Matthews Correlation: 0.4743
- Accuracy: 0.7891
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
| 0.6052 | 1.0 | 34 | 0.5939 | 0.0 | 0.6913 |
| 0.5337 | 2.0 | 68 | 0.5132 | 0.3639 | 0.7546 |
| 0.4113 | 3.0 | 102 | 0.4867 | 0.4743 | 0.7891 |
| 0.2988 | 4.0 | 136 | 0.5833 | 0.4456 | 0.7804 |
| 0.232 | 5.0 | 170 | 0.5778 | 0.4906 | 0.7958 |
| 0.1741 | 6.0 | 204 | 0.5924 | 0.5184 | 0.8063 |
| 0.1299 | 7.0 | 238 | 0.7206 | 0.5049 | 0.8015 |
| 0.1075 | 8.0 | 272 | 0.6481 | 0.5021 | 0.7987 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
|