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# mlm-20230405-002-4

This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9203

## 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: 2e-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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 284  | 4.0646          |
| 4.7247        | 2.0   | 568  | 3.3108          |
| 4.7247        | 3.0   | 852  | 3.0008          |
| 3.1652        | 4.0   | 1136 | 2.7421          |
| 3.1652        | 5.0   | 1420 | 2.5398          |
| 2.6664        | 6.0   | 1704 | 2.4601          |
| 2.6664        | 7.0   | 1988 | 2.3281          |
| 2.4079        | 8.0   | 2272 | 2.2595          |
| 2.235         | 9.0   | 2556 | 2.2096          |
| 2.235         | 10.0  | 2840 | 2.1656          |
| 2.1012        | 11.0  | 3124 | 2.1208          |
| 2.1012        | 12.0  | 3408 | 2.0601          |
| 1.9958        | 13.0  | 3692 | 2.0032          |
| 1.9958        | 14.0  | 3976 | 2.0479          |
| 1.9279        | 15.0  | 4260 | 1.9541          |
| 1.8739        | 16.0  | 4544 | 1.9563          |
| 1.8739        | 17.0  | 4828 | 1.9444          |
| 1.8358        | 18.0  | 5112 | 1.9108          |
| 1.8358        | 19.0  | 5396 | 1.9408          |
| 1.8018        | 20.0  | 5680 | 1.9278          |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["intanm/indonesian_financial_statements"], "model-index": [{"name": "mlm-20230405-002-4", "results": []}]}
transformers pytorch tensorboard bert fill-mask generated_from_trainer dataset:intanm/indonesian_financial_statements license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #fill-mask #generated_from_trainer #dataset-intanm/indonesian_financial_statements #license-mit #autotrain_compatible #endpoints_compatible #region-us 

mlm-20230405-002-4
==================


This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.9203


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: 2e-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: 20


### Training results



### Framework versions


* Transformers 4.27.4
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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: 20 ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #bert #fill-mask #generated_from_trainer #dataset-intanm/indonesian_financial_statements #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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: 20 ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #bert #fill-mask #generated_from_trainer #dataset-intanm/indonesian_financial_statements #license-mit #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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: 20### Training results### Framework versions


* Transformers 4.27.4
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3