|
--- |
|
license: apache-2.0 |
|
base_model: distilbert-base-multilingual-cased |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: transformers-qa-kaggle-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. --> |
|
|
|
# transformers-qa-kaggle-tpu |
|
|
|
This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.2278 |
|
- Train End Logits Accuracy: 0.9244 |
|
- Train Start Logits Accuracy: 0.9207 |
|
- Validation Loss: 3.8999 |
|
- Validation End Logits Accuracy: 0.4812 |
|
- Validation Start Logits Accuracy: 0.4542 |
|
- Epoch: 14 |
|
|
|
## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 122160, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
|
- training_precision: float32 |
|
|
|
### Training results |
|
|
|
| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch | |
|
|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:| |
|
| 2.2837 | 0.4519 | 0.4182 | 2.1117 | 0.4890 | 0.4658 | 0 | |
|
| 1.7361 | 0.5642 | 0.5326 | 2.0268 | 0.5035 | 0.4788 | 1 | |
|
| 1.4664 | 0.6186 | 0.5893 | 2.0023 | 0.5093 | 0.4833 | 2 | |
|
| 1.2479 | 0.6661 | 0.6379 | 2.1252 | 0.5057 | 0.4744 | 3 | |
|
| 1.0596 | 0.7076 | 0.6832 | 2.2703 | 0.4975 | 0.4690 | 4 | |
|
| 0.8999 | 0.7434 | 0.7214 | 2.3834 | 0.4968 | 0.4714 | 5 | |
|
| 0.7661 | 0.7760 | 0.7557 | 2.5503 | 0.4906 | 0.4654 | 6 | |
|
| 0.6520 | 0.8042 | 0.7892 | 2.7740 | 0.4922 | 0.4540 | 7 | |
|
| 0.5549 | 0.8313 | 0.8156 | 3.0625 | 0.4884 | 0.4607 | 8 | |
|
| 0.4739 | 0.8512 | 0.8405 | 3.1365 | 0.4862 | 0.4535 | 9 | |
|
| 0.4072 | 0.8691 | 0.8620 | 3.2969 | 0.4830 | 0.4509 | 10 | |
|
| 0.3515 | 0.8863 | 0.8786 | 3.4301 | 0.4852 | 0.4530 | 11 | |
|
| 0.3025 | 0.9010 | 0.8954 | 3.5350 | 0.4814 | 0.4548 | 12 | |
|
| 0.2646 | 0.9127 | 0.9083 | 3.7923 | 0.4832 | 0.4539 | 13 | |
|
| 0.2278 | 0.9244 | 0.9207 | 3.8999 | 0.4812 | 0.4542 | 14 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0.dev0 |
|
- TensorFlow 2.12.0 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
