distilgpt2-spock

This model is a fine-tuned version of distilbert/distilgpt2 on the dataset of all lines of dialogue spoken by the character Spock in the original Star Trek series: (https://huggingface.co/datasets/omgbobbyg/spock).

It achieves the following results on the evaluation set:

• Loss: 3.8278

Model description

This model was fine-tuned based on the dataset of all lines spoken by the character Spock as a causal language model.

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: 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

Training results

Training Loss	Epoch	Step	Validation Loss
4.3742	1.0	869	3.9095
3.7966	2.0	1738	3.8367
3.6567	3.0	2607	3.8278

Framework versions

• Transformers 4.34.0
• Pytorch 2.1.0+cu121
• Datasets 2.14.5
• Tokenizers 0.14.1