---
license: bsd-3-clause
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
tags:
- generated_from_trainer
metrics:
- accuracy
- recall
- precision
- f1
model-index:
- name: DL_Audio_Hatespeech_ast_trainer_push
  results: []
---

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

This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6336
- Accuracy: 0.6431
- Recall: 0.7452
- Precision: 0.6237
- F1: 0.6790

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Recall | Precision | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.6432        | 0.9987 | 387  | 0.6686          | 0.5992   | 0.6580 | 0.5944    | 0.6245 |
| 0.6414        | 2.0    | 775  | 0.6336          | 0.6431   | 0.7452 | 0.6237    | 0.6790 |
| 0.6079        | 2.9987 | 1162 | 0.6505          | 0.6328   | 0.5783 | 0.6561    | 0.6148 |
| 0.5088        | 4.0    | 1550 | 0.7122          | 0.6176   | 0.6624 | 0.6136    | 0.6371 |
| 0.3005        | 4.9935 | 1935 | 0.9250          | 0.6099   | 0.6038 | 0.6176    | 0.6106 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.3.2
- Tokenizers 0.19.1