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# bsc-bio-ehr-es-finetuned-ner-1

This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) on the shared-task dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6021
- Precision: 0.2851
- Recall: 0.3560
- F1: 0.3166
- Accuracy: 0.8444

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 59   | 0.6644          | 0.2234    | 0.2600 | 0.2403 | 0.8198   |
| No log        | 2.0   | 118  | 0.5786          | 0.1997    | 0.2507 | 0.2223 | 0.8331   |
| No log        | 3.0   | 177  | 0.6083          | 0.2732    | 0.3187 | 0.2942 | 0.8379   |
| No log        | 4.0   | 236  | 0.6032          | 0.2855    | 0.3486 | 0.3139 | 0.8366   |
| No log        | 5.0   | 295  | 0.6021          | 0.2851    | 0.3560 | 0.3166 | 0.8444   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["shared-task"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "bsc-bio-ehr-es-finetuned-ner-1", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "shared-task", "type": "shared-task", "config": "Shared", "split": "validation", "args": "Shared"}, "metrics": [{"type": "precision", "value": 0.28507462686567164, "name": "Precision"}, {"type": "recall", "value": 0.3560111835973905, "name": "Recall"}, {"type": "f1", "value": 0.3166183174471612, "name": "F1"}, {"type": "accuracy", "value": 0.8444321635810997, "name": "Accuracy"}]}]}]}
transformers pytorch tensorboard roberta token-classification generated_from_trainer dataset:shared-task license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #roberta #token-classification #generated_from_trainer #dataset-shared-task #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

bsc-bio-ehr-es-finetuned-ner-1
==============================


This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-ehr-es on the shared-task dataset.
It achieves the following results on the evaluation set:


* Loss: 0.6021
* Precision: 0.2851
* Recall: 0.3560
* F1: 0.3166
* Accuracy: 0.8444


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: 5


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3



### 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: 5 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #roberta #token-classification #generated_from_trainer #dataset-shared-task #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### 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: 5 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #roberta #token-classification #generated_from_trainer #dataset-shared-task #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
### 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: 5### Training results### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3