distilbart-podimo-data-eval-2-2e

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: 3.7374
• Rouge1: 32.9705
• Rouge2: 6.9494
• Rougel: 17.922
• Rougelsum: 29.4629
• Gen Len: 137.5363

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: 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
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
4.1649	0.98	44	3.8138	32.12	6.544	17.5999	28.8314	136.4553
3.6772	1.98	88	3.7374	32.9705	6.9494	17.922	29.4629	137.5363

Framework versions

• Transformers 4.25.1
• Pytorch 1.11.0
• Datasets 2.2.1
• Tokenizers 0.12.1