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README.md
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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: 3.0483
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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: 10
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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 | 2.0782 |
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| No log | 2.0 | 456 | 2.0429 |
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| 1.9343 | 3.0 | 684 | 2.0610 |
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| 1.9343 | 4.0 | 912 | 2.3113 |
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| 1.7023 | 5.0 | 1140 | 2.2637 |
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| 1.7023 | 6.0 | 1368 | 2.4966 |
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| 1.4557 | 7.0 | 1596 | 2.6158 |
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| 1.4557 | 8.0 | 1824 | 2.8876 |
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| 1.2366 | 9.0 | 2052 | 2.9951 |
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| 1.2366 | 10.0 | 2280 | 3.0483 |
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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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model.safetensors
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size 98470136
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version https://git-lfs.github.com/spec/v1
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size 98470136
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