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# prot_bert_classification_finetuned_karolina_es_10e

This model is a fine-tuned version of [nepp1d0/prot_bert-finetuned-smiles-bindingDB](https://huggingface.co/nepp1d0/prot_bert-finetuned-smiles-bindingDB) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6840
- Accuracy: 0.88
- F1: 0.9362
- Precision: 1.0
- Recall: 0.88

## 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: 1e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| No log        | 1.0   | 4    | 0.7082          | 0.02     | 0.0392 | 1.0       | 0.02   |
| No log        | 2.0   | 8    | 0.7073          | 0.04     | 0.0769 | 1.0       | 0.04   |
| No log        | 3.0   | 12   | 0.7060          | 0.04     | 0.0769 | 1.0       | 0.04   |
| No log        | 4.0   | 16   | 0.7047          | 0.04     | 0.0769 | 1.0       | 0.04   |
| No log        | 5.0   | 20   | 0.7034          | 0.08     | 0.1481 | 1.0       | 0.08   |
| No log        | 6.0   | 24   | 0.7008          | 0.22     | 0.3607 | 1.0       | 0.22   |
| No log        | 7.0   | 28   | 0.6976          | 0.22     | 0.3607 | 1.0       | 0.22   |
| No log        | 8.0   | 32   | 0.6933          | 0.3      | 0.4615 | 1.0       | 0.3    |
| No log        | 9.0   | 36   | 0.6893          | 0.6      | 0.7500 | 1.0       | 0.6    |
| No log        | 10.0  | 40   | 0.6840          | 0.88     | 0.9362 | 1.0       | 0.88   |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.11.0
- Datasets 2.6.1
- Tokenizers 0.13.1

{"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "model-index": [{"name": "prot_bert_classification_finetuned_karolina_es_10e", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

prot\_bert\_classification\_finetuned\_karolina\_es\_10e
========================================================


This model is a fine-tuned version of nepp1d0/prot\_bert-finetuned-smiles-bindingDB on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.6840
* Accuracy: 0.88
* F1: 0.9362
* Precision: 1.0
* Recall: 0.88


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: 1e-06
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 3
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.23.1
* Pytorch 1.11.0
* Datasets 2.6.1
* Tokenizers 0.13.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 3
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.23.1
* Pytorch 1.11.0
* Datasets 2.6.1
* Tokenizers 0.13.1
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 3
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.23.1
* Pytorch 1.11.0
* Datasets 2.6.1
* Tokenizers 0.13.1
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 3
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 10### Training results### Framework versions


* Transformers 4.23.1
* Pytorch 1.11.0
* Datasets 2.6.1
* Tokenizers 0.13.1