metadata
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 20231005-6-bert-base-multilingual-cased-new
results: []
20231005-6-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: 0.6122
- Loss: 1.7100
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 |
|---|---|---|---|---|
| 2.8657 | 1.82 | 200 | 0.4491 | 2.2492 |
| 2.3762 | 3.64 | 400 | 0.4819 | 2.3058 |
| 2.1854 | 5.45 | 600 | 0.5117 | 2.1061 |
| 2.0751 | 7.27 | 800 | 0.5574 | 1.9374 |
| 1.9179 | 9.09 | 1000 | 0.5319 | 2.0854 |
| 1.8486 | 10.91 | 1200 | 0.5840 | 1.9498 |
| 1.786 | 12.73 | 1400 | 0.5547 | 1.9965 |
| 1.7243 | 14.55 | 1600 | 0.5922 | 1.7396 |
| 1.6937 | 16.36 | 1800 | 0.6345 | 1.6550 |
| 1.6508 | 18.18 | 2000 | 0.6297 | 1.5891 |
| 1.6364 | 20.0 | 2200 | 0.6122 | 1.7100 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1