metadata
license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-multilingual-uncased-finetuned-hp
results: []
bert-base-multilingual-uncased-finetuned-hp
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: 1.9471
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6813 | 1.0 | 66 | 2.4897 |
| 2.4377 | 2.0 | 132 | 2.2871 |
| 2.2739 | 3.0 | 198 | 2.1468 |
| 2.1432 | 4.0 | 264 | 2.1158 |
| 2.058 | 5.0 | 330 | 2.0199 |
| 2.0181 | 6.0 | 396 | 1.9629 |
| 1.9669 | 7.0 | 462 | 2.0044 |
| 1.9437 | 8.0 | 528 | 2.0210 |
| 1.9289 | 9.0 | 594 | 1.8997 |
| 1.9102 | 10.0 | 660 | 1.9474 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1