file_name_dataset-real-model

This model is a fine-tuned version of gpt2 on an unknown 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: 8
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.16	1.0	726	nan
3.0138	2.0	1452	nan
2.7958	3.0	2178	nan
2.4565	4.0	2904	nan
2.91	5.0	3630	nan

Framework versions

• Transformers 4.46.3
• Pytorch 2.1.2+cu121
• Datasets 2.19.1
• Tokenizers 0.20.3