---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Zemulax/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. -->

# Zemulax/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: 8.5124
- Train Accuracy: 0.0230
- Validation Loss: 8.4787
- Validation Accuracy: 0.0222
- Epoch: 43

## 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': 223250, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 11750, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 10.2868    | 0.0            | 10.2891         | 0.0                 | 0     |
| 10.2817    | 0.0000         | 10.2764         | 0.0                 | 1     |
| 10.2772    | 0.0000         | 10.2667         | 0.0000              | 2     |
| 10.2604    | 0.0000         | 10.2521         | 0.0                 | 3     |
| 10.2421    | 0.0000         | 10.2282         | 0.0000              | 4     |
| 10.2219    | 0.0            | 10.2010         | 0.0                 | 5     |
| 10.1957    | 0.0            | 10.1669         | 0.0                 | 6     |
| 10.1667    | 0.0000         | 10.1388         | 0.0000              | 7     |
| 10.1278    | 0.0000         | 10.0908         | 0.0000              | 8     |
| 10.0848    | 0.0000         | 10.0405         | 0.0001              | 9     |
| 10.0496    | 0.0002         | 9.9921          | 0.0007              | 10    |
| 9.9940     | 0.0010         | 9.9422          | 0.0039              | 11    |
| 9.9424     | 0.0035         | 9.8765          | 0.0110              | 12    |
| 9.8826     | 0.0092         | 9.8156          | 0.0182              | 13    |
| 9.8225     | 0.0155         | 9.7461          | 0.0209              | 14    |
| 9.7670     | 0.0201         | 9.6768          | 0.0222              | 15    |
| 9.7065     | 0.0219         | 9.6127          | 0.0222              | 16    |
| 9.6352     | 0.0227         | 9.5445          | 0.0220              | 17    |
| 9.5757     | 0.0226         | 9.4795          | 0.0219              | 18    |
| 9.4894     | 0.0232         | 9.3985          | 0.0222              | 19    |
| 9.4277     | 0.0234         | 9.3386          | 0.0222              | 20    |
| 9.3676     | 0.0229         | 9.2753          | 0.0220              | 21    |
| 9.2980     | 0.0229         | 9.2170          | 0.0219              | 22    |
| 9.2361     | 0.0233         | 9.1518          | 0.0219              | 23    |
| 9.1515     | 0.0236         | 9.0827          | 0.0223              | 24    |
| 9.1171     | 0.0228         | 9.0406          | 0.0218              | 25    |
| 9.0447     | 0.0234         | 8.9867          | 0.0218              | 26    |
| 9.0119     | 0.0229         | 8.9307          | 0.0221              | 27    |
| 8.9625     | 0.0229         | 8.8969          | 0.0221              | 28    |
| 8.9098     | 0.0230         | 8.8341          | 0.0223              | 29    |
| 8.8726     | 0.0227         | 8.8118          | 0.0220              | 30    |
| 8.8574     | 0.0223         | 8.7910          | 0.0219              | 31    |
| 8.7798     | 0.0231         | 8.7506          | 0.0221              | 32    |
| 8.7535     | 0.0231         | 8.7055          | 0.0222              | 33    |
| 8.7333     | 0.0228         | 8.6801          | 0.0223              | 34    |
| 8.6985     | 0.0231         | 8.6837          | 0.0220              | 35    |
| 8.6816     | 0.0229         | 8.6243          | 0.0223              | 36    |
| 8.6356     | 0.0228         | 8.6323          | 0.0217              | 37    |
| 8.6392     | 0.0225         | 8.5603          | 0.0225              | 38    |
| 8.5802     | 0.0233         | 8.5722          | 0.0219              | 39    |
| 8.5825     | 0.0228         | 8.5548          | 0.0220              | 40    |
| 8.5625     | 0.0228         | 8.5272          | 0.0220              | 41    |
| 8.5415     | 0.0228         | 8.5200          | 0.0222              | 42    |
| 8.5124     | 0.0230         | 8.4787          | 0.0222              | 43    |


### Framework versions

- Transformers 4.30.1
- TensorFlow 2.12.0
- Tokenizers 0.13.3