xsum-gpt2-long-pegasus

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.2524
• Ppl: 26.6834

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: 0.0005
• train_batch_size: 2
• eval_batch_size: 2
• seed: 22554
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• total_eval_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 2000
• num_epochs: 15
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Ppl
3.7921	2.67	4000	3.6382	39.1940
3.4486	5.34	8000	3.4164	31.3953
3.299	8.01	12000	3.3291	28.7823
3.2019	10.68	16000	3.2769	27.3369
3.1403	13.36	20000	3.2524	26.6834

Framework versions

• Transformers 4.35.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.14.6
• Tokenizers 0.14.1