---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
base_model: csarron/mobilebert-uncased-squad-v1
model-index:
- name: yujiepan/test.mobilebert-uncased-12blks-squadv1-int8-f1-90.31
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# yujiepan/test.mobilebert-uncased-12blks-squadv1-int8-f1-90.31

This model is a fine-tuned version of [csarron/mobilebert-uncased-squad-v1](https://huggingface.co./csarron/mobilebert-uncased-squad-v1) on the squad dataset with QAT.

### Training hyperparameters

The following hyperparameters were used during training:

-   learning_rate: 6e-05
-   train_batch_size: 32
-   eval_batch_size: 64
-   seed: 42
-   optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-   lr_scheduler_type: cosine_with_restarts
-   num_epochs: 15.0
-   mixed_precision_training: Native AMP

### Training results

torch model:

```json
{
    "epoch": 14.82,
    "eval_exact_match": 83.66130558183538,
    "eval_f1": 90.30829859300735,
    "step": 41000
}
```

### Framework versions

-   Transformers 4.26.0
-   Pytorch 1.13.1+cu116
-   Datasets 2.8.0
-   Tokenizers 0.13.2
-   Optimum-intel 1.7.0