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--- |
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license: mit |
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base_model: openai-community/gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: GPT2-small-finetuned-Maximofn-short-jokes-dataset-casualLM |
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results: [] |
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datasets: |
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- Maximofn/short-jokes-dataset |
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language: |
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- en |
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widget: |
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- text: <SJ> Why didn't the frog cross the road? |
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pipeline_tag: text-generation |
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library_name: transformers |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# GPT2-small-finetuned-Maximofn-short-jokes-dataset-casualLM |
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on [Maximofn/short-jokes-dataset](https://huggingface.co/datasets/Maximofn/short-jokes-dataset) dataset. |
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It achieves the following results on the evaluation set: |
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It is the result of the post [Fine tunning SML](https://maximofn.com/fine-tuning-sml/) |
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- Loss: 3.2013 |
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## Model description |
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This model generated english jokes |
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## Intended uses & limitations |
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Text generation, english jokes |
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## Training and evaluation data |
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It is training on [Maximofn/short-jokes-dataset](https://huggingface.co/datasets/Maximofn/short-jokes-dataset) dataset. |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 28 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 3.3866 | 1.0 | 7447 | 3.2590 | |
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| 3.2599 | 2.0 | 14894 | 3.1997 | |
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| 3.2126 | 3.0 | 22341 | 3.1920 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
