BertQuake
This model is a fine-tuned version of distilbert/distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0300
- Accuracy: 0.9964
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: 8
- eval_batch_size: 8
- 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 | Accuracy |
|---|---|---|---|---|
| 0.0261 | 1.0 | 8745 | 0.0257 | 0.9955 |
| 0.0167 | 2.0 | 17490 | 0.0212 | 0.9968 |
| 0.0042 | 3.0 | 26235 | 0.0266 | 0.9968 |
| 0.0002 | 4.0 | 34980 | 0.0275 | 0.9963 |
| 0.0001 | 5.0 | 43725 | 0.0300 | 0.9964 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for ColeD0/BertQuake
Base model
distilbert/distilroberta-base