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--- |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: midi_model_2 |
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results: [] |
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datasets: |
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- TristanBehrens/js-fakes-4bars |
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widget: |
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- text: "PIECE_START" |
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- text: "PIECE_START STYLE=JSFAKES GENRE=JSFAKES TRACK_START INST=48 BAR_START NOTE_ON=32" |
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- text: "PIECE_START STYLE=JSFAKES GENRE=JSFAKES TRACK_START INST=48 BAR_START NOTE_ON=64" |
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--- |
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# midi_model_2 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the js-fakes-4bars dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8079 |
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## Model description |
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This model generates encoded midi that follows the format of [Magenta](https://github.com/magenta/note-seq). |
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## Intended uses & limitations |
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For generating basic encoded midi. |
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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: 0.0005 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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- seed: 1 |
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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: 0.01 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.3022 | 0.11 | 100 | 1.7587 | |
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| 1.5783 | 0.22 | 200 | 1.2644 | |
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| 1.1475 | 0.33 | 300 | 1.0365 | |
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| 1.0012 | 0.44 | 400 | 0.9359 | |
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| 0.936 | 0.55 | 500 | 0.8844 | |
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| 0.8895 | 0.66 | 600 | 0.8532 | |
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| 0.8714 | 0.77 | 700 | 0.8273 | |
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| 0.8521 | 0.88 | 800 | 0.8112 | |
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| 0.8455 | 1.0 | 900 | 0.8079 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
