scenario-NON-KD-SCR-D2_data-en-massive_all_1_166
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 8.6062
- Accuracy: 0.1005
- F1: 0.0779
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: 32
- eval_batch_size: 64
- seed: 66
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.0101 | 13.8889 | 5000 | 8.5235 | 0.0963 | 0.0721 |
| 0.0011 | 27.7778 | 10000 | 8.6062 | 0.1005 | 0.0779 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.19.1
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Model tree for haryoaw/scenario-NON-KD-SCR-D2_data-en-massive_all_1_166
Base model
microsoft/mdeberta-v3-baseEvaluation results
- Accuracy on massivevalidation set self-reported0.101
- F1 on massivevalidation set self-reported0.078