
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mlm-20230406-002-5

This model is a fine-tuned version of [intanm/mlm-20230405-002-3](https://huggingface.co/intanm/mlm-20230405-002-3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7441

## 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  | 2.8540          |
| 3.1889        | 2.0   | 568  | 2.5429          |
| 3.1889        | 3.0   | 852  | 2.4145          |
| 2.5305        | 4.0   | 1136 | 2.2699          |
| 2.5305        | 5.0   | 1420 | 2.1402          |
| 2.2343        | 6.0   | 1704 | 2.1209          |
| 2.2343        | 7.0   | 1988 | 2.0147          |
| 2.0581        | 8.0   | 2272 | 1.9715          |
| 1.942         | 9.0   | 2556 | 1.9564          |
| 1.942         | 10.0  | 2840 | 1.9158          |
| 1.8372        | 11.0  | 3124 | 1.9038          |
| 1.8372        | 12.0  | 3408 | 1.8593          |
| 1.7595        | 13.0  | 3692 | 1.8076          |
| 1.7595        | 14.0  | 3976 | 1.8470          |
| 1.7023        | 15.0  | 4260 | 1.7716          |
| 1.6629        | 16.0  | 4544 | 1.7706          |
| 1.6629        | 17.0  | 4828 | 1.7681          |
| 1.629         | 18.0  | 5112 | 1.7283          |
| 1.629         | 19.0  | 5396 | 1.7673          |
| 1.5984        | 20.0  | 5680 | 1.7507          |


### 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"], "model-index": [{"name": "mlm-20230406-002-5", "results": []}]}
transformers pytorch tensorboard bert fill-mask generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #fill-mask #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us 

mlm-20230406-002-5
==================


This model is a fine-tuned version of intanm/mlm-20230405-002-3 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.7441


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 #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 #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