prikarsartam/Chatelet

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

• Train Loss: 2.6426
• Validation Loss: 2.4740
• Train Rouge1: 28.4570
• Train Rouge2: 7.8923
• Train Rougel: 22.4844
• Train Rougelsum: 22.5176
• Train Gen Len: 18.839
• 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-06, '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	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
2.6549	2.4765	28.4405	7.9286	22.5463	22.5954	18.839	0
2.6498	2.4752	28.4785	7.9250	22.5438	22.5986	18.84	1
2.6426	2.4740	28.4570	7.8923	22.4844	22.5176	18.839	2

Framework versions

• Transformers 4.22.1
• TensorFlow 2.8.2
• Datasets 2.4.0
• Tokenizers 0.12.1