metadata
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: demo-ossbert-50k
results: []
demo-ossbert-50k
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4372
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0762 | 200 | 2.2789 |
| No log | 0.1524 | 400 | 2.0486 |
| No log | 0.2287 | 600 | 1.9096 |
| No log | 0.3049 | 800 | 1.8096 |
| No log | 0.3811 | 1000 | 1.7513 |
| No log | 0.4573 | 1200 | 1.6634 |
| No log | 0.5335 | 1400 | 1.5938 |
| No log | 0.6098 | 1600 | 1.5390 |
| No log | 0.6860 | 1800 | 1.5192 |
| No log | 0.7622 | 2000 | 1.4866 |
| No log | 0.8384 | 2200 | 1.4687 |
| No log | 0.9146 | 2400 | 1.4471 |
| No log | 0.9909 | 2600 | 1.4372 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1