xsum-gpt2-long

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

• Loss: 3.0751
• Ppl: 22.3764

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: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• total_eval_batch_size: 8
• 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
3.662	2.5	4000	3.5005	34.2753
3.3365	4.99	8000	3.2677	27.1321
3.2005	7.49	12000	3.1715	24.6352
3.1102	9.98	16000	3.1144	23.2719
3.0517	12.48	20000	3.0830	22.5529
3.0267	14.97	24000	3.0751	22.3764

Framework versions

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