|
--- |
|
license: mit |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: tf-tpu/roberta-base-epochs-500-no-wd |
|
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. --> |
|
|
|
# tf-tpu/roberta-base-epochs-500-no-wd |
|
|
|
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: 1.7370 |
|
- Train Accuracy: 0.0978 |
|
- Validation Loss: 1.5869 |
|
- Validation Accuracy: 0.1014 |
|
- Epoch: 32 |
|
|
|
## 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': 278825, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 14675, '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: mixed_bfloat16 |
|
|
|
### Training results |
|
|
|
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
|
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
|
| 8.3284 | 0.0211 | 7.1523 | 0.0266 | 0 | |
|
| 6.3670 | 0.0318 | 5.7812 | 0.0342 | 1 | |
|
| 5.6051 | 0.0380 | 5.4414 | 0.0420 | 2 | |
|
| 5.3602 | 0.0433 | 5.2734 | 0.0432 | 3 | |
|
| 5.2285 | 0.0444 | 5.1562 | 0.0442 | 4 | |
|
| 5.1371 | 0.0446 | 5.1133 | 0.0436 | 5 | |
|
| 5.0673 | 0.0446 | 5.0703 | 0.0442 | 6 | |
|
| 5.0132 | 0.0447 | 4.9883 | 0.0442 | 7 | |
|
| 4.9642 | 0.0448 | 4.9219 | 0.0441 | 8 | |
|
| 4.9217 | 0.0448 | 4.9258 | 0.0440 | 9 | |
|
| 4.8871 | 0.0448 | 4.8867 | 0.0439 | 10 | |
|
| 4.8548 | 0.0449 | 4.8672 | 0.0439 | 11 | |
|
| 4.8277 | 0.0449 | 4.8047 | 0.0445 | 12 | |
|
| 4.8033 | 0.0449 | 4.8477 | 0.0437 | 13 | |
|
| 4.7807 | 0.0449 | 4.7617 | 0.0439 | 14 | |
|
| 4.7592 | 0.0449 | 4.7773 | 0.0437 | 15 | |
|
| 4.7388 | 0.0449 | 4.7539 | 0.0441 | 16 | |
|
| 4.7225 | 0.0449 | 4.7266 | 0.0439 | 17 | |
|
| 4.7052 | 0.0449 | 4.6914 | 0.0450 | 18 | |
|
| 4.6917 | 0.0449 | 4.7188 | 0.0444 | 19 | |
|
| 4.6789 | 0.0449 | 4.6914 | 0.0444 | 20 | |
|
| 4.6689 | 0.0449 | 4.7031 | 0.0439 | 21 | |
|
| 4.6570 | 0.0449 | 4.7031 | 0.0437 | 22 | |
|
| 4.6486 | 0.0450 | 4.6758 | 0.0446 | 23 | |
|
| 4.6393 | 0.0449 | 4.6914 | 0.0441 | 24 | |
|
| 4.5898 | 0.0449 | 4.4688 | 0.0452 | 25 | |
|
| 4.3024 | 0.0472 | 3.8730 | 0.0551 | 26 | |
|
| 3.1689 | 0.0693 | 2.4375 | 0.0835 | 27 | |
|
| 2.3780 | 0.0844 | 2.0498 | 0.0922 | 28 | |
|
| 2.0789 | 0.0907 | 1.8604 | 0.0958 | 29 | |
|
| 1.9204 | 0.0940 | 1.7549 | 0.0982 | 30 | |
|
| 1.8162 | 0.0961 | 1.6836 | 0.0983 | 31 | |
|
| 1.7370 | 0.0978 | 1.5869 | 0.1014 | 32 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.0.dev0 |
|
- TensorFlow 2.9.1 |
|
- Tokenizers 0.13.2 |
|
|