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# mlm-20230416-003-1

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: 2.3201

## 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   | 330  | 4.2545          |
| 5.0912        | 2.0   | 660  | 3.6314          |
| 5.0912        | 3.0   | 990  | 3.2435          |
| 3.7016        | 4.0   | 1320 | 3.0558          |
| 3.22          | 5.0   | 1650 | 2.9062          |
| 3.22          | 6.0   | 1980 | 2.8126          |
| 2.946         | 7.0   | 2310 | 2.6621          |
| 2.7682        | 8.0   | 2640 | 2.5513          |
| 2.7682        | 9.0   | 2970 | 2.5651          |
| 2.624         | 10.0  | 3300 | 2.5347          |
| 2.5466        | 11.0  | 3630 | 2.4664          |
| 2.5466        | 12.0  | 3960 | 2.4375          |
| 2.4496        | 13.0  | 4290 | 2.4663          |
| 2.395         | 14.0  | 4620 | 2.3948          |
| 2.395         | 15.0  | 4950 | 2.4003          |
| 2.3377        | 16.0  | 5280 | 2.3072          |
| 2.2881        | 17.0  | 5610 | 2.3502          |
| 2.2881        | 18.0  | 5940 | 2.3236          |
| 2.2659        | 19.0  | 6270 | 2.3138          |
| 2.2419        | 20.0  | 6600 | 2.3359          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["intanm/financial_news_id_v1.0"], "model-index": [{"name": "mlm-20230416-003-1", "results": []}]}
transformers pytorch tensorboard bert fill-mask generated_from_trainer dataset:intanm/financial_news_id_v1.0 license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #fill-mask #generated_from_trainer #dataset-intanm/financial_news_id_v1.0 #license-mit #autotrain_compatible #endpoints_compatible #region-us 

mlm-20230416-003-1
==================


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: 2.3201


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



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 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 4.28.1
* 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/financial_news_id_v1.0 #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 4.28.1
* 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/financial_news_id_v1.0 #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 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3