bert-base-uncased-large-peft
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0004
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: 0.005
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.713 | 1.0 | 189 | 0.3051 |
| 0.151 | 2.0 | 378 | 0.0274 |
| 0.0404 | 3.0 | 567 | 0.0045 |
| 0.0079 | 4.0 | 756 | 0.0005 |
| 0.0052 | 5.0 | 945 | 0.0004 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for alitolga/bert-base-uncased-large-peft
Base model
google-bert/bert-base-uncased