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--- |
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license: mit |
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base_model: csarron/mobilebert-uncased-squad-v2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mobilebert-uncased-squad-v2-30-10-22 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mobilebert-uncased-squad-v2-30-10-22 |
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This model is a fine-tuned version of [csarron/mobilebert-uncased-squad-v2](https://huggingface.co/csarron/mobilebert-uncased-squad-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 13.5041 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 228 | 3.1250 | |
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| No log | 2.0 | 456 | 3.5844 | |
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| 1.1867 | 3.0 | 684 | 3.9242 | |
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| 1.1867 | 4.0 | 912 | 4.4160 | |
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| 0.842 | 5.0 | 1140 | 5.3645 | |
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| 0.842 | 6.0 | 1368 | 5.7769 | |
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| 0.5983 | 7.0 | 1596 | 5.6078 | |
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| 0.5983 | 8.0 | 1824 | 6.2784 | |
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| 0.4518 | 9.0 | 2052 | 7.7741 | |
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| 0.4518 | 10.0 | 2280 | 7.4468 | |
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| 0.332 | 11.0 | 2508 | 8.0155 | |
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| 0.332 | 12.0 | 2736 | 9.0584 | |
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| 0.332 | 13.0 | 2964 | 9.9912 | |
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| 0.2125 | 14.0 | 3192 | 11.2215 | |
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| 0.2125 | 15.0 | 3420 | 11.8451 | |
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| 0.1525 | 16.0 | 3648 | 12.2774 | |
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| 0.1525 | 17.0 | 3876 | 12.5938 | |
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| 0.1232 | 18.0 | 4104 | 13.8241 | |
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| 0.1232 | 19.0 | 4332 | 13.4653 | |
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| 0.1152 | 20.0 | 4560 | 13.5041 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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