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--- |
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license: mit |
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base_model: microsoft/deberta-v3-large |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: TF-40k-openbook-finetuned-deberta-v3-large-mcqa-TPU-v2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# TF-40k-openbook-finetuned-deberta-v3-large-mcqa-TPU-v2 |
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.6671 |
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- Validation Loss: 0.9061 |
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- Train Map@3: 0.8095 |
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- Epoch: 2 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'weight_decay': 0.01, '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': 2826, 'alpha': 5e-09, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: mixed_bfloat16 |
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### Training results |
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| Train Loss | Validation Loss | Train Map@3 | Epoch | |
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|:----------:|:---------------:|:-----------:|:-----:| |
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| 0.9561 | 0.8899 | 0.8073 | 0 | |
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| 0.7125 | 0.8513 | 0.8244 | 1 | |
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| 0.6671 | 0.9061 | 0.8095 | 2 | |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- TensorFlow 2.12.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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