pegasus-latest-finetuned2

This model is a fine-tuned version of october-sd/pegasus-xsum-finetuned-en-sum on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4684

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.97	8	1.4542
No log	1.94	16	1.4580
No log	2.91	24	1.4593
No log	4.0	33	1.4595
No log	4.97	41	1.4610
No log	5.94	49	1.4629
No log	6.91	57	1.4649
No log	8.0	66	1.4669
No log	8.97	74	1.4681
No log	9.7	80	1.4684

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2
• Datasets 2.15.0
• Tokenizers 0.15.2