raoel/mt5-small-openai-summarize_from_feedback

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: 2.8354
• Validation Loss: 1.9661
• Epoch: 6

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 5032, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
2.8327	1.9661	0
2.8194	1.9661	1
2.8246	1.9661	2
2.8298	1.9661	3
2.8326	1.9661	4
2.8265	1.9661	5
2.8354	1.9661	6

Framework versions

• Transformers 4.36.0
• TensorFlow 2.13.0
• Datasets 2.15.0
• Tokenizers 0.15.0