gpt-neo-125m-finetuned-shakespeare

This model is a fine-tuned version of EleutherAI/gpt-neo-125m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.1126

How to use

You can use this model directly with a pipeline for text generation. This example generates a different sequence each time it's run:

from transformers import pipeline

generator = pipeline('text-generation', model='2nji/gpt-neo-125m-finetuned-shakespeare')

generator("And all that", do_sample=True, min_length=20)

# [{'generated_text': "And all that in heaven is free: Thou bestow'd on God, so to my house, and in the"}]

Training and evaluation data

This model was finetuned using the the Shakespare_corpus Dataset

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: Use OptimizerNames.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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	185	4.1844
No log	2.0	370	4.1248
4.0892	3.0	555	4.1126

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0