my_awesome_sixth_model

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.8857
• Rouge1: 0.308
• Rouge2: 0.1151
• Rougel: 0.2066
• Rougelsum: 0.2065
• Gen Len: 79.1051

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:

• learning_rate: 2e-05
• train_batch_size: 5
• eval_batch_size: 5
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 10
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	171	1.9174	0.3094	0.1207	0.2099	0.2101	75.6192
No log	2.0	343	1.8893	0.3036	0.1127	0.2046	0.2041	79.1308
1.8737	2.99	513	1.8857	0.308	0.1151	0.2066	0.2065	79.1051

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2