ASAP_FineTuningBERT_AugV5_k5_task1_organization_fold4
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: 9.5804
- Qwk: 0.0060
- Mse: 9.5804
- Rmse: 3.0952
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: 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.5 | 2 | 10.5122 | 0.0205 | 10.5122 | 3.2423 |
| No log | 1.0 | 4 | 9.5804 | 0.0060 | 9.5804 | 3.0952 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Model tree for genki10/ASAP_FineTuningBERT_AugV5_k5_task1_organization_fold4
Base model
google-bert/bert-base-uncased