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# XpCoDir2

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the XpCoDataset 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.0
- Datasets 2.0.0
- Tokenizers 0.10.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["XpCo"], "model-index": [{"name": "XpCoDir2", "results": []}]}
transformers pytorch bert feature-extraction generated_from_trainer dataset:XpCo license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #feature-extraction #generated_from_trainer #dataset-XpCo #license-apache-2.0 #endpoints_compatible #region-us 




# XpCoDir2

This model is a fine-tuned version of bert-base-uncased on the XpCoDataset 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.0
- Datasets 2.0.0
- Tokenizers 0.10.3

# XpCoDir2

This model is a fine-tuned version of bert-base-uncased on the XpCoDataset 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0 ### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.0
- Datasets 2.0.0
- Tokenizers 0.10.3
TAGS
#transformers #pytorch #bert #feature-extraction #generated_from_trainer #dataset-XpCo #license-apache-2.0 #endpoints_compatible #region-us 
 # XpCoDir2

This model is a fine-tuned version of bert-base-uncased on the XpCoDataset 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0 ### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.0
- Datasets 2.0.0
- Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #bert #feature-extraction #generated_from_trainer #dataset-XpCo #license-apache-2.0 #endpoints_compatible #region-us 
# XpCoDir2

This model is a fine-tuned version of bert-base-uncased on the XpCoDataset 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.0
- Datasets 2.0.0
- Tokenizers 0.10.3