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