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openbook-finetuned-deberta-v3-large-mcqa-TPU – AI Model by quastrinos | AlphaNeural AI
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quastrinos
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openbook-finetuned-deberta-v3-large-mcqa-TPU
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transformers
tf
deberta-v2
multiple-choice
generated_from_keras_callback
microsoft/deberta-v3-large
finetune
mit
endpoints_compatible
us
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openbook-finetuned-deberta-v3-large-mcqa-TPU
This model is a fine-tuned version of
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
