metadata

license: mit
base_model: microsoft/deberta-v3-large
tags:
  - generated_from_keras_callback
model-index:
  - name: TF-40k-openbook-finetuned-deberta-v3-large-mcqa-TPU-v2
    results: []

TF-40k-openbook-finetuned-deberta-v3-large-mcqa-TPU-v2

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: 0.6671
Validation Loss: 0.9061
Train Map@3: 0.8095
Epoch: 2

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': 0.01, '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}
training_precision: mixed_bfloat16

Training results

Train Loss	Validation Loss	Train Map@3	Epoch
0.9561	0.8899	0.8073	0
0.7125	0.8513	0.8244	1
0.6671	0.9061	0.8095	2

Framework versions

Transformers 4.35.0.dev0
TensorFlow 2.12.0
Datasets 2.14.5
Tokenizers 0.14.1