KostiuchenkoArtem/bart_large_small_modifications

This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0201
• Validation Loss: 0.0424
• Epoch: 2

Model description

Intended uses & limitations

Training and evaluation data

The dataset was split into 30% test data and 70% training data

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
0.0969	0.0561	0
0.0377	0.0447	1
0.0201	0.0424	2

Framework versions

• Transformers 4.29.2
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.3