gpt2-medium-shakes-pear

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

• Loss: 10.6437
• Rouge1: 0.0723
• Rouge2: 0.0
• Rougel: 0.0723
• Rougelsum: 0.0723
• Bert Precision: 0.7316
• Bert Recall: 0.8011
• Bert F1: 0.7647

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• 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
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bert Precision	Bert Recall	Bert F1
No log	1.0	1	11.4526	0.1143	0.0	0.1143	0.1143	0.7094	0.8058	0.7545
No log	2.0	2	10.6437	0.0723	0.0	0.0723	0.0723	0.7316	0.8011	0.7647

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0