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mobilebert-uncased-squad-v2-29-10-23
badokorach/mobilebert-uncased-squad-v2-29-10-23
mobilebert-uncased-squad-v2-29-10-23 is a question answering model from badokorach. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- mobilebert
- Access
- Public
- Created
- Oct 29, 2023
- Updated
- Oct 29, 2023
- SHA
- a0b808fd
Try a prompt
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-v2-29-10-23
This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6036
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 131 | 2.6073 |
| No log | 2.0 | 262 | 2.4030 |
| No log | 3.0 | 393 | 2.2717 |
| 4.1053 | 4.0 | 524 | 2.3064 |
| 4.1053 | 5.0 | 655 | 2.3380 |
| 4.1053 | 6.0 | 786 | 2.4085 |
| 4.1053 | 7.0 | 917 | 2.5319 |
| 1.2506 | 8.0 | 1048 | 2.5606 |
| 1.2506 | 9.0 | 1179 | 2.5628 |
| 1.2506 | 10.0 | 1310 | 2.6036 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- mobilebert
- License
- mit
- Created
- Oct 29, 2023
- Updated
- Oct 29, 2023