baseline001-noQA-20230913
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.0346
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 |
|---|---|---|---|
| No log | 1.0 | 200 | 3.2409 |
| No log | 2.0 | 400 | 3.0835 |
| 3.2104 | 3.0 | 600 | 3.2733 |
| 3.2104 | 4.0 | 800 | 3.5029 |
| 1.6558 | 5.0 | 1000 | 3.8114 |
| 1.6558 | 6.0 | 1200 | 4.1583 |
| 1.6558 | 7.0 | 1400 | 4.5349 |
| 0.7475 | 8.0 | 1600 | 4.8084 |
| 0.7475 | 9.0 | 1800 | 4.9235 |
| 0.4025 | 10.0 | 2000 | 5.0346 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for intanm/baseline001-noQA-20230913
Base model
google-bert/bert-base-multilingual-cased