TestZee/t5-small-finetuned-custom-wion-test

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

• Train Loss: 1.9773
• Validation Loss: 0.8028
• Epoch: 9

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	Validation Loss	Epoch
2.2933	0.9052	0
2.3077	0.8923	1
2.1972	0.8797	2
2.1740	0.8677	3
2.1535	0.8564	4
2.1772	0.8452	5
2.1227	0.8342	6
2.0875	0.8234	7
2.0279	0.8129	8
1.9773	0.8028	9

Framework versions

• Transformers 4.20.1
• TensorFlow 2.8.2
• Tokenizers 0.12.1