|
--- |
|
license: mit |
|
base_model: quastrinos/race-openbook-finetuned-deberta-v3-large-mcqa-TPU-v4 |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: race-openbook-finetuned-deberta-v3-large-mcqa-TPU-v5 |
|
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. --> |
|
|
|
# race-openbook-finetuned-deberta-v3-large-mcqa-TPU-v5 |
|
|
|
This model is a fine-tuned version of [quastrinos/race-openbook-finetuned-deberta-v3-large-mcqa-TPU-v4](https://huggingface.co/quastrinos/race-openbook-finetuned-deberta-v3-large-mcqa-TPU-v4) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.6490 |
|
- Validation Loss: 0.9673 |
|
- Train Map3: 0.7783 |
|
- Train Lr: 5.0733553e-11 |
|
- Epoch: 0 |
|
|
|
## 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': 0.001, 'clipnorm': 1, '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': 'CosineDecay', 'config': {'initial_learning_rate': 2e-06, 'decay_steps': 312, 'alpha': 5e-09, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
|
- training_precision: mixed_bfloat16 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Train Map3 | Train Lr | Epoch | |
|
|:----------:|:---------------:|:----------:|:-------------:|:-----:| |
|
| 0.6490 | 0.9673 | 0.7783 | 5.0733553e-11 | 0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.0.dev0 |
|
- TensorFlow 2.12.0 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|
