---
library_name: transformers
base_model: sandernotenbaert/okai-musiclang-content-t5-stable
tags:
- generated_from_trainer
model-index:
- name: okai-musiclang-content-t5-stable
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# okai-musiclang-content-t5-stable

This model is a fine-tuned version of [sandernotenbaert/okai-musiclang-content-t5-stable](https://huggingface.co/sandernotenbaert/okai-musiclang-content-t5-stable) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1688

## 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_with_restarts
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 200
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.4966        | 1.6556 | 500  | 2.3381          |
| 2.3699        | 3.3113 | 1000 | 2.2373          |
| 2.3337        | 4.9669 | 1500 | 2.1878          |
| 2.3111        | 6.6225 | 2000 | 2.1688          |


### Framework versions

- Transformers 4.54.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4