---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: 0314_i6dh_mobilebert_int8vs_lr7e-05
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 0314_i6dh_mobilebert_int8vs_lr7e-05

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.

The model has 12 blocks, and is quantized. The embeddings are also quantized.

```json
    {
      "epoch": 15.0,
      "eval_exact_match": 83.68968779564806,
      "eval_f1": 90.37926101768134,
      "step": 41500
    }
  ```
## 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: 7e-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



### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2