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---
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: 8.9625
- Train Accuracy: 0.0229
- Validation Loss: 8.8969
- Validation Accuracy: 0.0221
- Epoch: 28
## 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 |
### Framework versions
- Transformers 4.30.1
- TensorFlow 2.12.0
- Tokenizers 0.13.3
|