---
library_name: transformers
license: cc-by-nc-4.0
base_model: m-a-p/MERT-v1-95M
tags:
- generated_from_trainer
datasets:
- Rehead/DEAM_stripped_vocals
model-index:
- name: MERT-v1-95M-finetuned-DEAM_stripped_vocals
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MERT-v1-95M-finetuned-DEAM_stripped_vocals

This model is a fine-tuned version of [m-a-p/MERT-v1-95M](https://huggingface.co/m-a-p/MERT-v1-95M) on the Rehead/DEAM_stripped_vocals 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | R Squared |
|:-------------:|:------:|:----:|:---------------:|:---------:|
| No log        | 0.8889 | 2    | 17.3474         | -17.908   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.2