dot-ammar/dotless-model-medium-mixed

This model is a fine-tuned version of google/t5-v1_1-small on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1392
• Train Accuracy: 0.9818
• Validation Loss: 0.0706
• Validation Accuracy: 0.9919
• 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
2.8556	0.6713	0.1201	0.9890	0
0.2501	0.9667	0.0858	0.9912	1
0.1392	0.9818	0.0706	0.9919	2

Framework versions

• Transformers 4.33.0
• TensorFlow 2.12.0
• Datasets 2.1.0
• Tokenizers 0.13.3