metadata
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: damage_trigger_effect_2024-11-06_13_00
results: []
damage_trigger_effect_2024-11-06_13_00
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5939
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 34 | 0.6901 |
| No log | 2.0 | 68 | 0.5241 |
| No log | 3.0 | 102 | 0.4540 |
| No log | 4.0 | 136 | 0.4661 |
| No log | 5.0 | 170 | 0.4877 |
| No log | 6.0 | 204 | 0.4716 |
| No log | 7.0 | 238 | 0.4778 |
| No log | 8.0 | 272 | 0.5008 |
| No log | 9.0 | 306 | 0.5195 |
| No log | 10.0 | 340 | 0.5669 |
| No log | 11.0 | 374 | 0.5807 |
| No log | 12.0 | 408 | 0.5776 |
| No log | 13.0 | 442 | 0.5938 |
| No log | 14.0 | 476 | 0.5854 |
| 0.2729 | 15.0 | 510 | 0.5939 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3