metadata
license: mit
base_model: csarron/mobilebert-uncased-squad-v2
tags:
- generated_from_trainer
model-index:
- name: mobilebert-uncased-squad-v2-30-10-22
results: []
mobilebert-uncased-squad-v2-30-10-22
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: 13.5041
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 228 | 3.1250 |
| No log | 2.0 | 456 | 3.5844 |
| 1.1867 | 3.0 | 684 | 3.9242 |
| 1.1867 | 4.0 | 912 | 4.4160 |
| 0.842 | 5.0 | 1140 | 5.3645 |
| 0.842 | 6.0 | 1368 | 5.7769 |
| 0.5983 | 7.0 | 1596 | 5.6078 |
| 0.5983 | 8.0 | 1824 | 6.2784 |
| 0.4518 | 9.0 | 2052 | 7.7741 |
| 0.4518 | 10.0 | 2280 | 7.4468 |
| 0.332 | 11.0 | 2508 | 8.0155 |
| 0.332 | 12.0 | 2736 | 9.0584 |
| 0.332 | 13.0 | 2964 | 9.9912 |
| 0.2125 | 14.0 | 3192 | 11.2215 |
| 0.2125 | 15.0 | 3420 | 11.8451 |
| 0.1525 | 16.0 | 3648 | 12.2774 |
| 0.1525 | 17.0 | 3876 | 12.5938 |
| 0.1232 | 18.0 | 4104 | 13.8241 |
| 0.1232 | 19.0 | 4332 | 13.4653 |
| 0.1152 | 20.0 | 4560 | 13.5041 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1