
<!-- 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. -->

# albert-xxlarge-v2-squad2-covid-qa-deepset

This model is a fine-tuned version of [mfeb/albert-xxlarge-v2-squad2](https://huggingface.co/mfeb/albert-xxlarge-v2-squad2) on the covid_qa_deepset dataset.

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.0+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3

{"tags": ["generated_from_trainer"], "datasets": ["covid_qa_deepset"], "model-index": [{"name": "albert-xxlarge-v2-squad2-covid-qa-deepset", "results": []}]}
transformers pytorch tensorboard albert question-answering generated_from_trainer dataset:covid_qa_deepset endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #albert #question-answering #generated_from_trainer #dataset-covid_qa_deepset #endpoints_compatible #region-us 




# albert-xxlarge-v2-squad2-covid-qa-deepset

This model is a fine-tuned version of mfeb/albert-xxlarge-v2-squad2 on the covid_qa_deepset dataset.

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.0+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3

# albert-xxlarge-v2-squad2-covid-qa-deepset

This model is a fine-tuned version of mfeb/albert-xxlarge-v2-squad2 on the covid_qa_deepset dataset. ## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3 ### Training results ### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.0+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3
TAGS
#transformers #pytorch #tensorboard #albert #question-answering #generated_from_trainer #dataset-covid_qa_deepset #endpoints_compatible #region-us 
 # albert-xxlarge-v2-squad2-covid-qa-deepset

This model is a fine-tuned version of mfeb/albert-xxlarge-v2-squad2 on the covid_qa_deepset dataset. ## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3 ### Training results ### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.0+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #tensorboard #albert #question-answering #generated_from_trainer #dataset-covid_qa_deepset #endpoints_compatible #region-us 
# albert-xxlarge-v2-squad2-covid-qa-deepset

This model is a fine-tuned version of mfeb/albert-xxlarge-v2-squad2 on the covid_qa_deepset dataset.## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3### Training results### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.0+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3