---
license: apache-2.0
base_model: dima806/bird_sounds_classification
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: emotion_recognition
  results: []
---

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

This model is a fine-tuned version of [dima806/bird_sounds_classification](https://huggingface.co/dima806/bird_sounds_classification) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7880
- Accuracy: 0.8249

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.7843        | 1.0   | 4899  | 0.9654          | 0.7514   |
| 0.6352        | 2.0   | 9798  | 0.9026          | 0.7955   |
| 0.0438        | 3.0   | 14697 | 0.8320          | 0.8037   |
| 0.443         | 4.0   | 19596 | 0.8014          | 0.8131   |
| 0.3585        | 5.0   | 24495 | 0.7880          | 0.8249   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1