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Browse files- README.md +66 -0
- pytorch_model.bin +1 -1
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-v2-29-10-23
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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-v2-29-10-23
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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: 2.6036
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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: 8
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- eval_batch_size: 8
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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 | 131 | 2.6073 |
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| No log | 2.0 | 262 | 2.4030 |
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| No log | 3.0 | 393 | 2.2717 |
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| 4.1053 | 4.0 | 524 | 2.3064 |
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| 4.1053 | 5.0 | 655 | 2.3380 |
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| 4.1053 | 6.0 | 786 | 2.4085 |
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| 4.1053 | 7.0 | 917 | 2.5319 |
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| 1.2506 | 8.0 | 1048 | 2.5606 |
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| 1.2506 | 9.0 | 1179 | 2.5628 |
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| 1.2506 | 10.0 | 1310 | 2.6036 |
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### Framework versions
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- Transformers 4.34.1
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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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 98705823
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version https://git-lfs.github.com/spec/v1
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size 98705823
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