metadata
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: SingPurcBERT-Katch-0328
results: []
SingPurcBERT-Katch-0328
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4296
- Accuracy: 0.8593
- F1: 0.8593
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.384 | 1.0 | 3372 | 0.3757 | 0.8450 | 0.8445 |
| 0.3444 | 2.0 | 6744 | 0.3650 | 0.8583 | 0.8583 |
| 0.3386 | 3.0 | 10116 | 0.4296 | 0.8593 | 0.8593 |
| 0.3166 | 4.0 | 13488 | 0.5125 | 0.8460 | 0.8457 |
| 0.2781 | 5.0 | 16860 | 0.7211 | 0.8504 | 0.8502 |
| 0.2236 | 6.0 | 20232 | 0.7112 | 0.8504 | 0.8503 |
| 0.2008 | 7.0 | 23604 | 0.8183 | 0.8509 | 0.8509 |
| 0.1591 | 8.0 | 26976 | 0.9926 | 0.8464 | 0.8462 |
| 0.1103 | 9.0 | 30348 | 1.0597 | 0.8411 | 0.8409 |
| 0.0802 | 10.0 | 33720 | 1.0660 | 0.8436 | 0.8436 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.14.1