Randomized_Bert_Stacked_model_100
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1038
- F1: 0.5899
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-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 | F1 |
|---|---|---|---|---|
| 1.0272 | 1.0 | 1576 | 1.0783 | 0.5897 |
| 1.0025 | 2.0 | 3152 | 1.0931 | 0.5869 |
| 0.9597 | 3.0 | 4728 | 1.0840 | 0.5904 |
| 0.9409 | 4.0 | 6304 | 1.1012 | 0.5902 |
| 0.918 | 5.0 | 7880 | 1.1038 | 0.5899 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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Model tree for Ariffiq99/Randomized_Bert_Stacked_model_100
Base model
google-bert/bert-base-uncased