metadata

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: []

MERT-v1-95M-finetuned-DEAM_stripped_vocals

This model is a fine-tuned version of 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