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# esm2_t6_8M_UR50D-localization-finetuned-localization

This model is a fine-tuned version of [facebook/esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7547
- F1: 0.8183

## 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: 0.0001
- 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.3596        | 1.0   | 2023  | 0.3449          | 0.7802 |
| 0.3354        | 2.0   | 4046  | 0.3388          | 0.7868 |
| 0.3027        | 3.0   | 6069  | 0.3313          | 0.8031 |
| 0.2656        | 4.0   | 8092  | 0.3528          | 0.8116 |
| 0.2145        | 5.0   | 10115 | 0.4154          | 0.8022 |
| 0.1636        | 6.0   | 12138 | 0.4949          | 0.8129 |
| 0.0957        | 7.0   | 14161 | 0.5287          | 0.8121 |
| 0.0594        | 8.0   | 16184 | 0.6614          | 0.8073 |
| 0.0439        | 9.0   | 18207 | 0.6858          | 0.8158 |
| 0.0139        | 10.0  | 20230 | 0.7547          | 0.8183 |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "model-index": [{"name": "esm2_t6_8M_UR50D-localization-finetuned-localization", "results": []}]}
transformers pytorch esm text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #esm #text-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us 

esm2\_t6\_8M\_UR50D-localization-finetuned-localization
=======================================================


This model is a fine-tuned version of facebook/esm2\_t6\_8M\_UR50D on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.7547
* F1: 0.8183


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: 0.0001
* 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: 10


### Training results



### Framework versions


* Transformers 4.28.0
* Pytorch 1.13.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* 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: 10 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 1.13.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #esm #text-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* 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: 10 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 1.13.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3