Blog models
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This is a set of models that come from the trainings I do in my personal blog
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GPT2-small-finetuned-Maximofn-short-jokes-dataset-casualLM
This model is a fine-tuned version of openai-community/gpt2 on Maximofn/short-jokes-dataset dataset. It achieves the following results on the evaluation set:
It is the result of the post Fine tunning SML
- Loss: 3.2013
Model description
This model generated english jokes
Intended uses & limitations
Text generation, english jokes
Training and evaluation data
It is training on Maximofn/short-jokes-dataset dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 28
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3866 | 1.0 | 7447 | 3.2590 |
| 3.2599 | 2.0 | 14894 | 3.1997 |
| 3.2126 | 3.0 | 22341 | 3.1920 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Maximofn/GPT2-small-finetuned-Maximofn-short-jokes-dataset-casualLM
Base model
openai-community/gpt2