Boglinger/mt5-small-klex

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 4.7908
• Validation Loss: 3.2086
• Epoch: 19

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 2344, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
10.4780	4.4037	0
6.5474	3.8111	1
5.7133	3.5425	2
5.3385	3.3847	3
5.0827	3.3011	4
4.9326	3.2479	5
4.8377	3.2185	6
4.7692	3.2086	7
4.7478	3.2086	8
4.7534	3.2086	9
4.7665	3.2086	10
4.7779	3.2086	11
4.7689	3.2086	12
4.7838	3.2086	13
4.7881	3.2086	14
4.7869	3.2086	15
4.7612	3.2086	16
4.7667	3.2086	17
4.7581	3.2086	18
4.7908	3.2086	19

Framework versions

• Transformers 4.19.2
• TensorFlow 2.8.0
• Datasets 2.2.1
• Tokenizers 0.12.1