transformers tf roberta fill-mask generated_from_keras_callback base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
base_model: roberta-base
tags:
- generated_from_keras_callback
model-index:
- name: DarqueDante/masked-lm-tpu
  results: []
---

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

# DarqueDante/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: 9.9046
- Train Accuracy: 0.0011
- Validation Loss: 9.8052
- Validation Accuracy: 0.0078
- Epoch: 8

## 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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 10.2398    | 0.0000         | 10.2295         | 0.0                 | 0     |
| 10.2242    | 0.0000         | 10.2251         | 0.0                 | 1     |
| 10.2208    | 0.0            | 10.1911         | 0.0                 | 2     |
| 10.1852    | 0.0            | 10.1489         | 0.0                 | 3     |
| 10.1440    | 0.0000         | 10.0999         | 0.0000              | 4     |
| 10.0989    | 0.0000         | 10.0304         | 0.0000              | 5     |
| 10.0447    | 0.0000         | 9.9604          | 0.0000              | 6     |
| 9.9717     | 0.0001         | 9.8835          | 0.0009              | 7     |
| 9.9046     | 0.0011         | 9.8052          | 0.0078              | 8     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.12.0
- Tokenizers 0.15.0
