test_trainer
This model is a fine-tuned version of google-bert/bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4485
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: 5e-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
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1928 | 0.16 | 20 | 1.7267 |
| 0.0765 | 0.32 | 40 | 2.2667 |
| 0.1415 | 0.48 | 60 | 2.4675 |
| 0.8414 | 0.64 | 80 | 2.5346 |
| 1.4214 | 0.8 | 100 | 1.4516 |
| 1.3342 | 0.96 | 120 | 1.1893 |
| 0.707 | 1.12 | 140 | 1.1221 |
| 0.2296 | 1.28 | 160 | 1.3310 |
| 0.7034 | 1.44 | 180 | 1.4380 |
| 0.6004 | 1.6 | 200 | 1.4485 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.3.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for seunbite/test_trainer
Base model
google-bert/bert-base-cased