metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
model-index:
- name: my_humorous_llm-model
results: []
language:
- en
metrics:
- perplexity
my_humorous_llm-model
This model is a fine-tuned version of distilbert/distilgpt2 on the "Reddit-clean-jokes" dataset taken from the following link: https://github.com/amoudgl/short-jokes-dataset/blob/master/data/reddit-cleanjokes.csv. It achieves the following results on the evaluation set:
- Loss: 1.9830
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: 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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 117 | 2.1182 |
| No log | 2.0 | 234 | 2.0096 |
| No log | 3.0 | 351 | 1.9830 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3