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# openbook-finetuned-deberta-v3-large-mcqa-TPU

This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.3845
- Validation Loss: 1.5914
- Train Map3: 0.7024
- 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 |
|:----------:|:---------------:|:----------:|:-------------:|:-----:|
| 1.3845     | 1.5914          | 0.7024     | 5.0733553e-11 | 0     |


### Framework versions

- Transformers 4.35.0.dev0
- TensorFlow 2.12.0
- Datasets 2.14.5
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "microsoft/deberta-v3-large", "model-index": [{"name": "openbook-finetuned-deberta-v3-large-mcqa-TPU", "results": []}]}
transformers tf deberta-v2 multiple-choice generated_from_keras_callback base_model:microsoft/deberta-v3-large license:mit endpoints_compatible region:us