text_model_bert
This model is a fine-tuned version of google-bert/bert-base-uncased on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 4.1530
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: 8
- eval_batch_size: 8
- 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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.5186 | 1.0 | 1336 | 4.2647 |
| 4.1921 | 2.0 | 2672 | 4.1749 |
| 4.0792 | 3.0 | 4008 | 4.1530 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for zxdexpo/text_model_bert
Base model
google-bert/bert-base-uncased