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--- |
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license: afl-3.0 |
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language: |
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- eng |
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tags: |
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- generative-model |
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datasets: |
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- TRBLLmaker |
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model: |
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- gpt2 |
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widget: |
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- text: "artist: Ashe.\ntitle: Moral of the story.\nlyrics: Some mistakes get made That's alright, that's okay You can think that you're in love When you're really just in pain.\nmeaning:" |
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example_title: "Moral of the story" |
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--- |
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[Link to the arxiv](https://arxiv.org/pdf/2212.04917.pdf) |
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[Datasets](https://huggingface.co/datasets/MorVentura/TRBLLmaker) |
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### About Us |
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Created by [Mor Ventura](https://www.linkedin.com/in/mor-ventura/) and [Michael Toker](https://www.linkedin.com/in/mnlp/). |
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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: checkpoint_gpt2-medium_lyrics_meaning_2022-03-10-16-16-32 |
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results: [] |
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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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# checkpoint_gpt2-medium_lyrics_meaning_2022-03-10-16-16-32 |
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5896 |
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- Accuracy: 0.4923 |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 4.0 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.7781 | 1.01 | 128 | 2.6284 | 0.4875 | |
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| 2.6217 | 2.02 | 256 | 2.6022 | 0.4908 | |
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| 2.569 | 3.02 | 384 | 2.5928 | 0.4917 | |
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### Framework versions |
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- Transformers 4.18.0.dev0 |
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- Pytorch 1.10.1 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.6 |
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