metadata
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/distilbert_lda_100_v1_book
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: distilbert_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: 0.254232462261425
- name: Accuracy
type: accuracy
value: 0.718120813369751
distilbert_lda_100_v1_book_cola
This model is a fine-tuned version of gokulsrinivasagan/distilbert_lda_100_v1_book on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.5656
- Matthews Correlation: 0.2542
- Accuracy: 0.7181
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 OptimizerNames.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 |
|---|---|---|---|---|---|
| 0.6088 | 1.0 | 34 | 0.6095 | 0.0 | 0.6913 |
| 0.5811 | 2.0 | 68 | 0.5894 | 0.1806 | 0.7009 |
| 0.4993 | 3.0 | 102 | 0.5656 | 0.2542 | 0.7181 |
| 0.4235 | 4.0 | 136 | 0.6414 | 0.2643 | 0.7267 |
| 0.335 | 5.0 | 170 | 0.6178 | 0.3053 | 0.7277 |
| 0.2571 | 6.0 | 204 | 0.6787 | 0.3185 | 0.7335 |
| 0.1982 | 7.0 | 238 | 0.7716 | 0.3333 | 0.7430 |
| 0.174 | 8.0 | 272 | 0.7496 | 0.3430 | 0.7373 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.2.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1