albert_squad_2.0

This model is a fine-tuned version of albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.6320
• Validation Loss: 0.8542
• 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': 'LAMB', 'learning_rate': 3e-05, 'weight_decay': 0.0, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-06, 'exclude_from_weight_decay': None, 'exclude_from_layer_adaptation': None}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
1.1381	0.9066	0
0.7778	0.8423	1
0.6320	0.8542	2

Framework versions

• Transformers 4.16.0.dev0
• TensorFlow 2.7.0
• Datasets 1.17.0
• Tokenizers 0.10.3