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MobileBERT-uncased-squad-v1-Bagging-5of5
allistair99/MobileBERT-uncased-squad-v1-Bagging-5of5
MobileBERT-uncased-squad-v1-Bagging-5of5 is a machine learning model from allistair99. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- mobilebert
- Access
- Public
- Created
- Oct 1, 2024
- Updated
- Oct 1, 2024
- SHA
- a5b309a1
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
MobileBERT-uncased-squad-v1-Bagging-5of5
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: 1.4253
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 |
|---|---|---|---|
| 0.5743 | 1.0 | 14619 | 1.1128 |
| 0.3642 | 2.0 | 29238 | 1.4253 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- mobilebert
- License
- mit
- Created
- Oct 1, 2024
- Updated
- Oct 1, 2024