gpt2-finetuned-wikitext2

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: nan

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: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: IPU
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• total_eval_batch_size: 18
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• training precision: Mixed Precision

Training results

Training Loss	Epoch	Step	Validation Loss
nan	1.0	291	nan
nan	2.0	582	nan
nan	3.0	873	nan

Framework versions

• Transformers 4.24.0
• Pytorch 1.10.0+cpu
• Datasets 2.6.1
• Tokenizers 0.13.2