ai-for-all

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

• eval_loss: 4.1334
• eval_runtime: 56.4871
• eval_samples_per_second: 277.072
• eval_steps_per_second: 69.272
• epoch: 2.84
• step: 100000

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0