
<!-- 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. -->

# plncmm/roberta-clinical-wl-es

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-biomedical-clinical-es](https://huggingface.co/PlanTL-GOB-ES/roberta-base-biomedical-clinical-es) on the Chilean waiting list 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: 16
- 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

### Training results



### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1

{"language": ["es"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "widget": [{"text": "Periodontitis <mask> generalizada severa."}, {"text": "Caries dentinaria <mask>."}, {"text": "Movilidad aumentada en pza <mask>."}, {"text": "Pcte con dm en tto con <mask>."}, {"text": "Pcte con erc en tto con <mask>."}], "model-index": [{"name": "roberta-clinical-wl-es", "results": []}]}
transformers pytorch safetensors roberta fill-mask generated_from_trainer es license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #roberta #fill-mask #generated_from_trainer #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 




# plncmm/roberta-clinical-wl-es

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-biomedical-clinical-es on the Chilean waiting list 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: 16
- 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

### Training results



### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1

# plncmm/roberta-clinical-wl-es

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-biomedical-clinical-es on the Chilean waiting list 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: 16
- 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 ### Training results ### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #safetensors #roberta #fill-mask #generated_from_trainer #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # plncmm/roberta-clinical-wl-es

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-biomedical-clinical-es on the Chilean waiting list 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: 16
- 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 ### Training results ### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #safetensors #roberta #fill-mask #generated_from_trainer #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
# plncmm/roberta-clinical-wl-es

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-biomedical-clinical-es on the Chilean waiting list 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: 16
- 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### Training results### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1