ASAP_FineTuningBERT_AugV8_k1_task1_organization_fold1
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: 2.2591
- Qwk: 0.0759
- Mse: 2.2627
- Rmse: 1.5042
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: 16
- eval_batch_size: 16
- 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 | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 1.0 | 5 | 5.1112 | 0.0 | 5.1173 | 2.2621 |
| 5.2467 | 2.0 | 10 | 3.0480 | 0.0 | 3.0524 | 1.7471 |
| 5.2467 | 3.0 | 15 | 2.2591 | 0.0759 | 2.2627 | 1.5042 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for genki10/ASAP_FineTuningBERT_AugV8_k1_task1_organization_fold1
Base model
google-bert/bert-base-uncased