bert-large-uncased-pp-10000-1e-06-16
This model is a fine-tuned version of bert-large-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6882
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: 1e-06
- train_batch_size: 64
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 157 | 0.6985 |
0.7176 | 2.0 | 314 | 0.6905 |
0.7001 | 3.0 | 471 | 0.6886 |
0.6894 | 4.0 | 628 | 0.6882 |
0.6894 | 5.0 | 785 | 0.6884 |
0.6855 | 6.0 | 942 | 0.6884 |
0.6809 | 7.0 | 1099 | 0.6893 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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google-bert/bert-large-uncased
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