metadata
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/bert_base_lda_5_v1_book
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: bert_base_lda_5_v1_book_qqp
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QQP
type: glue
args: qqp
metrics:
- name: Accuracy
type: accuracy
value: 0.883007667573584
- name: F1
type: f1
value: 0.8522613693153424
bert_base_lda_5_v1_book_qqp
This model is a fine-tuned version of gokulsrinivasagan/bert_base_lda_5_v1_book on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.2715
- Accuracy: 0.8830
- F1: 0.8523
- Combined Score: 0.8676
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 | Accuracy | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.3439 | 1.0 | 1422 | 0.2776 | 0.8779 | 0.8319 | 0.8549 |
| 0.2315 | 2.0 | 2844 | 0.2715 | 0.8830 | 0.8523 | 0.8676 |
| 0.1614 | 3.0 | 4266 | 0.2738 | 0.8950 | 0.8622 | 0.8786 |
| 0.1118 | 4.0 | 5688 | 0.3073 | 0.8937 | 0.8585 | 0.8761 |
| 0.0815 | 5.0 | 7110 | 0.3470 | 0.8996 | 0.8653 | 0.8825 |
| 0.0631 | 6.0 | 8532 | 0.3771 | 0.8963 | 0.8636 | 0.8800 |
| 0.0515 | 7.0 | 9954 | 0.3934 | 0.8972 | 0.8633 | 0.8802 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3