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# 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

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "0314_i6dh_mobilebert_int8vs_lr7e-05", "results": []}]}
transformers pytorch openvino mobilebert generated_from_trainer dataset:squad license:mit endpoints_compatible region:us
TAGS
#transformers #pytorch #openvino #mobilebert #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us 




# 0314_i6dh_mobilebert_int8vs_lr7e-05

This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v1 on the squad dataset.

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


## 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

# 0314_i6dh_mobilebert_int8vs_lr7e-05

This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v1 on the squad dataset.

The model has 12 blocks, and is quantized. The embeddings are also quantized. ## 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
TAGS
#transformers #pytorch #openvino #mobilebert #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us 
 # 0314_i6dh_mobilebert_int8vs_lr7e-05

This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v1 on the squad dataset.

The model has 12 blocks, and is quantized. The embeddings are also quantized. ## 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
TAGS
#transformers #pytorch #openvino #mobilebert #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us 
# 0314_i6dh_mobilebert_int8vs_lr7e-05

This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v1 on the squad dataset.

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