badBART_T7_sampled-H100-110K

This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6117
• Rouge1: 80.75
• Rouge2: 28.37
• Rougel: 78.38
• Rougelsum: 78.38

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 73
• num_epochs: 6
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	370	0.7570	75.32	27.03	73.18	73.19
1.7411	2.0	740	0.6397	79.34	27.41	77.12	77.08
0.6184	3.0	1110	0.6107	79.34	28.46	77.09	77.05
0.6184	4.0	1480	0.6073	82.13	28.8	79.86	79.83
0.4851	5.0	1850	0.6078	79.6	28.69	77.24	77.24
0.4154	6.0	2220	0.6117	80.75	28.37	78.38	78.38

Framework versions

• Transformers 4.45.2
• Pytorch 2.4.0+cu124
• Datasets 3.2.0
• Tokenizers 0.20.3