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# mlm-20230503-indobert-base-p1-combined-001

This model is a fine-tuned version of [intanm/mlm-20230416-003-2](https://huggingface.co/intanm/mlm-20230416-003-2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7241

## 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  | 2.7523          |
| 3.086         | 2.0   | 568  | 2.4679          |
| 3.086         | 3.0   | 852  | 2.3475          |
| 2.4695        | 4.0   | 1136 | 2.2232          |
| 2.4695        | 5.0   | 1420 | 2.0961          |
| 2.1859        | 6.0   | 1704 | 2.0702          |
| 2.1859        | 7.0   | 1988 | 1.9730          |
| 2.0172        | 8.0   | 2272 | 1.9398          |
| 1.9008        | 9.0   | 2556 | 1.9195          |
| 1.9008        | 10.0  | 2840 | 1.8858          |
| 1.8025        | 11.0  | 3124 | 1.8617          |
| 1.8025        | 12.0  | 3408 | 1.8328          |
| 1.7298        | 13.0  | 3692 | 1.7851          |
| 1.7298        | 14.0  | 3976 | 1.8226          |
| 1.6727        | 15.0  | 4260 | 1.7434          |
| 1.6347        | 16.0  | 4544 | 1.7531          |
| 1.6347        | 17.0  | 4828 | 1.7514          |
| 1.5973        | 18.0  | 5112 | 1.7060          |
| 1.5973        | 19.0  | 5396 | 1.7437          |
| 1.5732        | 20.0  | 5680 | 1.7242          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
{"tags": ["generated_from_trainer"], "datasets": ["intanm/financial_news_id_v1.0", "intanm/indonesian_financial_statements"], "model-index": [{"name": "mlm-20230503-indobert-base-p1-combined-001", "results": []}]}
transformers pytorch tensorboard bert fill-mask generated_from_trainer dataset:intanm/financial_news_id_v1.0 dataset:intanm/indonesian_financial_statements autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #fill-mask #generated_from_trainer #dataset-intanm/financial_news_id_v1.0 #dataset-intanm/indonesian_financial_statements #autotrain_compatible #endpoints_compatible #region-us 

mlm-20230503-indobert-base-p1-combined-001
==========================================


This model is a fine-tuned version of intanm/mlm-20230416-003-2 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.7241


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 2.12.0
* 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 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #bert #fill-mask #generated_from_trainer #dataset-intanm/financial_news_id_v1.0 #dataset-intanm/indonesian_financial_statements #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 2.12.0
* Tokenizers 0.13.3