gpt2-xl_ft_mult_5k

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

• Loss: 0.6758

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100.0
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.99	27	6.3035
No log	1.99	54	1.2709
No log	2.99	81	0.7482
No log	3.99	108	0.6758

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.11.6

Perplexity

Score: 21.267963409423828

Dataset Size

Size: 5000