đ bert-base-cased-finetuned-qqp
This model is a fine - tuned version of [bert - base - cased](https://huggingface.co/bert - base - cased) on the GLUE QQP dataset, aiming to compare with [google/fnet - base](https://huggingface.co/google/fnet - base) and achieve high performance in text classification.
đ Quick Start
This model is a fine - tuned version of [bert - base - cased](https://huggingface.co/bert - base - cased) on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.3752
- Accuracy: 0.9084
- F1: 0.8768
- Combined Score: 0.8926
The model was fine - tuned to compare [google/fnet - base](https://huggingface.co/google/fnet - base) as introduced in this paper against [bert - base - cased](https://huggingface.co/bert - base - cased).
đĻ Installation
This model is trained using the [run_glue](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text - classification/run_glue.py) script. The following command was used:
#!/usr/bin/bash
python ../run_glue.py \\n --model_name_or_path bert - base - cased \\n --task_name qqp \\n --do_train \\n --do_eval \\n --max_seq_length 512 \\n --per_device_train_batch_size 16 \\n --learning_rate 2e - 5 \\n --num_train_epochs 3 \\n --output_dir bert - base - cased - finetuned - qqp \\n --push_to_hub \\n --hub_strategy all_checkpoints \\n --logging_strategy epoch \\n --save_strategy epoch \\n --evaluation_strategy epoch \\n
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e - 05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Training Loss |
Epoch |
Step |
Validation Loss |
Accuracy |
F1 |
Combined Score |
0.308 |
1.0 |
22741 |
0.2548 |
0.8925 |
0.8556 |
0.8740 |
0.201 |
2.0 |
45482 |
0.2881 |
0.9032 |
0.8698 |
0.8865 |
0.1416 |
3.0 |
68223 |
0.3752 |
0.9084 |
0.8768 |
0.8926 |
Framework versions
- Transformers 4.11.0.dev0
- Pytorch 1.9.0
- Datasets 1.12.1
- Tokenizers 0.10.3
đ Documentation
Model Information
Property |
Details |
Model Type |
Fine - tuned version of [bert - base - cased](https://huggingface.co/bert - base - cased) on the GLUE QQP dataset |
Training Data |
GLUE QQP dataset |
Metrics |
Accuracy: 0.9084, F1: 0.8768, Combined Score: 0.8926 |
đ License
This model is licensed under the Apache - 2.0 license.