Bagging Mobilebert
Collection
Mobilebert variants for bagging labelled n out of 5
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MobileBERT-uncased-squad-v1-Bagging-4of5
This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3993
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: 3e-05
- train_batch_size: 6
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5716 | 1.0 | 14621 | 1.1067 |
| 0.3889 | 2.0 | 29242 | 1.3993 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for allistair99/MobileBERT-uncased-squad-v1-Bagging-4of5
Base model
csarron/mobilebert-uncased-squad-v1