sunsetsobserver/MIDI_transformer_tiny-test

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runs

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 3.1137
• —Accuracy: 0.0000

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0001
• —trainbatchsize: 16
• —evalbatchsize: 48
• —seed: 444
• —gradientaccumulationsteps: 3
• —totaltrainbatch_size: 48
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosinewithrestarts
• —lrschedulerwarmup_ratio: 0.3
• —training_steps: 100
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.37.2
• —Pytorch 2.2.0+cu121
• —Datasets 2.17.0
• —Tokenizers 0.15.1