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This model is a fine-tuned version of distilgpt2 on the wikitext dataset. It achieves the following results on the evaluation set:

• eval_loss: 4.4818
• eval_runtime: 13.363
• eval_samples_per_second: 144.429
• eval_steps_per_second: 18.11
• step: 0

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.0+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3