---
library_name: transformers
base_model: sandernotenbaert/hierarchical-music-t5
tags:
- generated_from_trainer
model-index:
- name: hierarchical-music-t5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hierarchical-music-t5

This model is a fine-tuned version of [sandernotenbaert/hierarchical-music-t5](https://huggingface.co/sandernotenbaert/hierarchical-music-t5) on an unknown dataset.

## 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
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 4
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.54.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2