BASE_long

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

• Loss: 3.1674
• Ppl: 24.5740

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
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 2000
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Ppl
3.6608	2.51	4000	3.5106	34.6847
3.3438	5.01	8000	3.2666	27.1444
3.178	7.52	12000	3.1674	24.5740

Framework versions

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