metadata
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 20231005-10-bert-base-multilingual-cased-new
results: []
20231005-10-bert-base-multilingual-cased-new
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.5619
- Loss: 1.7791
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 3.0157 | 1.82 | 200 | 0.4232 | 2.6671 |
| 2.5352 | 3.64 | 400 | 0.4476 | 2.6419 |
| 2.3183 | 5.45 | 600 | 0.5189 | 2.3181 |
| 2.1379 | 7.27 | 800 | 0.5192 | 2.0600 |
| 2.0734 | 9.09 | 1000 | 0.4961 | 2.1997 |
| 1.9287 | 10.91 | 1200 | 0.5075 | 2.1356 |
| 1.8827 | 12.73 | 1400 | 0.5405 | 2.0868 |
| 1.8261 | 14.55 | 1600 | 0.5490 | 1.9918 |
| 1.7685 | 16.36 | 1800 | 0.5917 | 1.8753 |
| 1.7322 | 18.18 | 2000 | 0.5789 | 1.8090 |
| 1.6964 | 20.0 | 2200 | 0.5619 | 1.7791 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1