metadata
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/bert_tiny_lda_5_v1_book
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: bert_tiny_lda_5_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: 0.2911416522578436
- name: Accuracy
type: accuracy
value: 0.7286673188209534
bert_tiny_lda_5_v1_book_cola
This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_5_v1_book on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.5533
- Matthews Correlation: 0.2911
- Accuracy: 0.7287
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 |
|---|---|---|---|---|---|
| 0.608 | 1.0 | 34 | 0.5934 | 0.0 | 0.6913 |
| 0.5582 | 2.0 | 68 | 0.5758 | 0.2106 | 0.7133 |
| 0.4656 | 3.0 | 102 | 0.5533 | 0.2911 | 0.7287 |
| 0.386 | 4.0 | 136 | 0.6199 | 0.2784 | 0.7258 |
| 0.3164 | 5.0 | 170 | 0.6492 | 0.2738 | 0.7191 |
| 0.2656 | 6.0 | 204 | 0.6995 | 0.2904 | 0.7239 |
| 0.2146 | 7.0 | 238 | 0.8111 | 0.2863 | 0.7267 |
| 0.1798 | 8.0 | 272 | 0.7927 | 0.2940 | 0.7239 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3