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---

license: apache-2.0
base_model: ntu-spml/distilhubert
tags:
- generated_from_trainer
datasets:
- audiofolder
model-index:
- name: distilhubert-finetuned-donateacry
  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. -->

# distilhubert-finetuned-donateacry

This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder 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: 8

- eval_batch_size: 8

- seed: 123

- gradient_accumulation_steps: 8

- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1



### Training results



| Training Loss | Epoch  | Step | Validation Loss | Accuracy |

|:-------------:|:------:|:----:|:---------------:|:--------:|

| No log        | 0.8696 | 5    | 1.0947          | 0.8370   |





### Framework versions



- Transformers 4.42.3

- Pytorch 2.3.1+cu118

- Datasets 2.20.0

- Tokenizers 0.19.1