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# Trickshotblaster/masked-lm-tpu

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 5.0588
- Train Accuracy: 0.0445
- Validation Loss: 5.0495
- Validation Accuracy: 0.0449
- Epoch: 29

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 0.0001, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 22325, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1175, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 5.1057     | 0.0447         | 5.1128          | 0.0445              | 0     |
| 5.1366     | 0.0445         | 5.1449          | 0.0446              | 1     |
| 5.1152     | 0.0445         | 5.1034          | 0.0441              | 2     |
| 5.1297     | 0.0442         | 5.0708          | 0.0449              | 3     |
| 5.1002     | 0.0448         | 5.0494          | 0.0449              | 4     |
| 5.1155     | 0.0443         | 5.1304          | 0.0440              | 5     |
| 5.0949     | 0.0445         | 5.1050          | 0.0441              | 6     |
| 5.0747     | 0.0451         | 5.0769          | 0.0446              | 7     |
| 5.0840     | 0.0447         | 5.0664          | 0.0442              | 8     |
| 5.0828     | 0.0446         | 5.1446          | 0.0438              | 9     |
| 5.0994     | 0.0444         | 5.0545          | 0.0454              | 10    |
| 5.1009     | 0.0448         | 5.0466          | 0.0452              | 11    |
| 5.1028     | 0.0442         | 5.0538          | 0.0458              | 12    |
| 5.0771     | 0.0447         | 5.0645          | 0.0445              | 13    |
| 5.0809     | 0.0443         | 5.0884          | 0.0438              | 14    |
| 5.0831     | 0.0445         | 5.0946          | 0.0450              | 15    |
| 5.0753     | 0.0444         | 5.1057          | 0.0441              | 16    |
| 5.0786     | 0.0447         | 5.1212          | 0.0439              | 17    |
| 5.0674     | 0.0446         | 5.0428          | 0.0453              | 18    |
| 5.0737     | 0.0447         | 5.0155          | 0.0458              | 19    |
| 5.0510     | 0.0448         | 5.1046          | 0.0443              | 20    |
| 5.0815     | 0.0446         | 5.0959          | 0.0441              | 21    |
| 5.0518     | 0.0450         | 5.0441          | 0.0453              | 22    |
| 5.0514     | 0.0449         | 5.0835          | 0.0442              | 23    |
| 5.0400     | 0.0449         | 5.0802          | 0.0444              | 24    |
| 5.0708     | 0.0446         | 5.0587          | 0.0440              | 25    |
| 5.0745     | 0.0441         | 5.0809          | 0.0440              | 26    |
| 5.0467     | 0.0446         | 5.0542          | 0.0444              | 27    |
| 5.0190     | 0.0449         | 5.0191          | 0.0453              | 28    |
| 5.0588     | 0.0445         | 5.0495          | 0.0449              | 29    |


### Framework versions

- Transformers 4.30.1
- TensorFlow 2.12.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "Trickshotblaster/masked-lm-tpu", "results": []}]}
transformers tf roberta fill-mask generated_from_keras_callback license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #roberta #fill-mask #generated_from_keras_callback #license-mit #autotrain_compatible #endpoints_compatible #region-us 

Trickshotblaster/masked-lm-tpu
==============================


This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 5.0588
* Train Accuracy: 0.0445
* Validation Loss: 5.0495
* Validation Accuracy: 0.0449
* Epoch: 29


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:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': {'class\_name': 'WarmUp', 'config': {'initial\_learning\_rate': 0.0001, 'decay\_schedule\_fn': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 0.0001, 'decay\_steps': 22325, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '**passive\_serialization**': True}, 'warmup\_steps': 1175, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.001}
* training\_precision: float32


### Training results



### Framework versions


* Transformers 4.30.1
* TensorFlow 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': {'class\_name': 'WarmUp', 'config': {'initial\_learning\_rate': 0.0001, 'decay\_schedule\_fn': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 0.0001, 'decay\_steps': 22325, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '**passive\_serialization**': True}, 'warmup\_steps': 1175, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.001}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.30.1
* TensorFlow 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #tf #roberta #fill-mask #generated_from_keras_callback #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': {'class\_name': 'WarmUp', 'config': {'initial\_learning\_rate': 0.0001, 'decay\_schedule\_fn': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 0.0001, 'decay\_steps': 22325, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '**passive\_serialization**': True}, 'warmup\_steps': 1175, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.001}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.30.1
* TensorFlow 2.12.0
* Tokenizers 0.13.3