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--- |
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tags: |
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- generated_from_keras_callback |
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- music |
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model-index: |
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- name: juancopi81/mutopia_guitar_mmm |
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results: [] |
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datasets: |
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- juancopi81/mutopia_guitar_dataset |
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widget: |
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- text: "PIECE_START TIME_SIGNATURE=4_4 BPM=90 TRACK_START INST=0 DENSITY=2 BAR_START NOTE_ON=43" |
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example_title: "Time signature 4/4, BPM=90, NOTE=G2" |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# juancopi81/mutopia_guitar_mmm |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the [Mutopia Guitar Dataset](https://huggingface.co/datasets/juancopi81/mutopia_guitar_dataset). Use the widget to generate your piece and then use [this notebook](https://colab.research.google.com/drive/14vlJwCvDmNH6SFfVuYY0Y18qTbaHEJCY?usp=sharing) to hear it (work in progress). |
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The notebook is adapted from [the one created by Dr. Tristan Behrens](https://huggingface.co/TristanBehrens/js-fakes-4bars). |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.7588 |
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- Validation Loss: 1.3974 |
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- Epoch: 2 |
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 9089, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 1.0705 | 1.3590 | 0 | |
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| 0.8889 | 1.3702 | 1 | |
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| 0.7588 | 1.3974 | 2 | |
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### Framework versions |
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- Transformers 4.21.3 |
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- TensorFlow 2.8.2 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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