metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: pl
results: []
pl
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:
- Loss: 0.0162
- Accuracy: 0.9969
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 |
|---|---|---|---|---|
| 0.1189 | 1.0 | 125 | 0.0423 | 0.9930 |
| 0.0609 | 2.0 | 250 | 0.0229 | 0.9961 |
| 0.0348 | 3.0 | 375 | 0.0162 | 0.9969 |
Framework versions
- Transformers 4.44.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1