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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilbert/distilgpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: my_humorous_llm-model |
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results: [] |
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language: |
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- en |
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metrics: |
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- perplexity |
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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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# my_humorous_llm-model |
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This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9830 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 117 | 2.1182 | |
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| No log | 2.0 | 234 | 2.0096 | |
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| No log | 3.0 | 351 | 1.9830 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
