metadata
license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- recall
- precision
model-index:
- name: multilingual_model_v02
results: []
multilingual_model_v02
This model is a fine-tuned version of bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3359
- Accuracy: 0.8707
- F1 Score: 0.7728
- Recall: 0.8527
- Precision: 0.7066
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | Recall | Precision |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 219 | 0.3391 | 0.8707 | 0.7728 | 0.8527 | 0.7066 |
| No log | 2.0 | 438 | 0.3377 | 0.8707 | 0.7728 | 0.8527 | 0.7066 |
| 0.3688 | 3.0 | 657 | 0.3359 | 0.8707 | 0.7728 | 0.8527 | 0.7066 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1