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# distilroberta-base-wiki-mark

This model is a fine-tuned version of [yochen/distilroberta-base-wiki-mark](https://huggingface.co/yochen/distilroberta-base-wiki-mark) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.2695
- eval_runtime: 4.3489
- eval_samples_per_second: 431.836
- eval_steps_per_second: 54.037
- epoch: 10.1
- step: 20489

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5000

### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "distilroberta-base-wiki-mark", "results": []}]}
transformers pytorch tensorboard roberta fill-mask generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #roberta #fill-mask #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 




# distilroberta-base-wiki-mark

This model is a fine-tuned version of yochen/distilroberta-base-wiki-mark on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.2695
- eval_runtime: 4.3489
- eval_samples_per_second: 431.836
- eval_steps_per_second: 54.037
- epoch: 10.1
- step: 20489

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5000

### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1

# distilroberta-base-wiki-mark

This model is a fine-tuned version of yochen/distilroberta-base-wiki-mark on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.2695
- eval_runtime: 4.3489
- eval_samples_per_second: 431.836
- eval_steps_per_second: 54.037
- epoch: 10.1
- step: 20489 ## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5000 ### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #roberta #fill-mask #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # distilroberta-base-wiki-mark

This model is a fine-tuned version of yochen/distilroberta-base-wiki-mark on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.2695
- eval_runtime: 4.3489
- eval_samples_per_second: 431.836
- eval_steps_per_second: 54.037
- epoch: 10.1
- step: 20489 ## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5000 ### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #roberta #fill-mask #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
# distilroberta-base-wiki-mark

This model is a fine-tuned version of yochen/distilroberta-base-wiki-mark on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.2695
- eval_runtime: 4.3489
- eval_samples_per_second: 431.836
- eval_steps_per_second: 54.037
- epoch: 10.1
- step: 20489## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5000### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1