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