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# indojavanesenli-transfer-learn-zero-shot

This model is a fine-tuned version of [jalaluddin94/nli_mbert](https://huggingface.co/jalaluddin94/nli_mbert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6257
- Accuracy: 0.4329
- Precision: 0.4329
- Recall: 0.4329
- F1 Score: 0.4016

## 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: 3e-06
- train_batch_size: 16
- eval_batch_size: 16
- 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 | Accuracy | Precision | Recall | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
| 0.6091        | 1.0   | 646  | 1.6313          | 0.4379   | 0.4379    | 0.4379 | 0.4095   |
| 0.4973        | 2.0   | 1292 | 1.6178          | 0.4256   | 0.4256    | 0.4256 | 0.3908   |
| 0.4441        | 3.0   | 1938 | 1.9232          | 0.4238   | 0.4238    | 0.4238 | 0.3893   |
| 0.4015        | 4.0   | 2584 | 1.8953          | 0.4488   | 0.4488    | 0.4488 | 0.4288   |
| 0.3621        | 5.0   | 3230 | 2.4039          | 0.4215   | 0.4215    | 0.4215 | 0.3809   |
| 0.3258        | 6.0   | 3876 | 2.4819          | 0.4215   | 0.4215    | 0.4215 | 0.3833   |
| 0.307         | 7.0   | 4522 | 2.4260          | 0.4424   | 0.4424    | 0.4424 | 0.4147   |
| 0.2892        | 8.0   | 5168 | 2.4761          | 0.4333   | 0.4333    | 0.4333 | 0.4019   |
| 0.2778        | 9.0   | 5814 | 2.5906          | 0.4310   | 0.4310    | 0.4310 | 0.3995   |
| 0.2573        | 10.0  | 6460 | 2.6257          | 0.4329   | 0.4329    | 0.4329 | 0.4016   |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "model-index": [{"name": "indojavanesenli-transfer-learn-zero-shot", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

indojavanesenli-transfer-learn-zero-shot
========================================


This model is a fine-tuned version of jalaluddin94/nli\_mbert on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 2.6257
* Accuracy: 0.4329
* Precision: 0.4329
* Recall: 0.4329
* F1 Score: 0.4016


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: 3e-06
* train\_batch\_size: 16
* eval\_batch\_size: 16
* 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 4.30.0.dev0
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-06
* train\_batch\_size: 16
* eval\_batch\_size: 16
* 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 4.30.0.dev0
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-06
* train\_batch\_size: 16
* eval\_batch\_size: 16
* 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 4.30.0.dev0
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3