gpt2-large-finetuned-jhegarty-texts

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

• Loss: 4.1128

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	25	3.9585
No log	2.0	50	3.9082
No log	3.0	75	3.9567
No log	4.0	100	4.0397
No log	5.0	125	4.1128

Framework versions

• Transformers 4.30.1
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3