midi_model_2 / README.md
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metadata
base_model: gpt2
tags:
  - generated_from_trainer
model-index:
  - name: midi_model_2
    results: []
datasets:
  - TristanBehrens/js-fakes-4bars
widget:
  - text: PIECE_START
  - text: >-
      PIECE_START STYLE=JSFAKES GENRE=JSFAKES TRACK_START INST=48 BAR_START
      NOTE_ON=32
  - text: >-
      PIECE_START STYLE=JSFAKES GENRE=JSFAKES TRACK_START INST=48 BAR_START
      NOTE_ON=64

midi_model_2

This model is a fine-tuned version of gpt2 on the js-fakes-4bars dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8079

Model description

This model generates encoded midi that follows the format of Magenta.

Intended uses & limitations

For generating basic encoded midi.

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0005
  • train_batch_size: 4
  • eval_batch_size: 2
  • seed: 1
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.01
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
2.3022 0.11 100 1.7587
1.5783 0.22 200 1.2644
1.1475 0.33 300 1.0365
1.0012 0.44 400 0.9359
0.936 0.55 500 0.8844
0.8895 0.66 600 0.8532
0.8714 0.77 700 0.8273
0.8521 0.88 800 0.8112
0.8455 1.0 900 0.8079

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0