distilbart-podimo-data-5

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.1325

Model description

model	rouge1	rouge2	rougeL	rougeLsum
sshleifer/distilbart-cnn-12-6	0.202654	0.025766	0.123072	0.130183
emmyapi/distilbart-podimo-data-3	0.235147	0.047087	0.151535	0.161782
emmyapi/distilbart-podimo-data-4	0.236926	0.048327	0.153539	0.165026
emmyapi/distilbart-podimo-data-5	0.259024	0.061665	0.167187	0.178399
emmyapi/distilbart-podimo-data-7	0.298888	0.059900	0.159479	0.185049

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: 5e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 64
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss
3.3477	3.33	500	3.7027
2.6286	6.66	1000	3.6995
2.0718	10.0	1500	3.8868
1.7806	13.33	2000	4.1325

Framework versions

• Transformers 4.23.1
• Pytorch 1.11.0
• Datasets 2.2.1
• Tokenizers 0.12.1