| --- |
| 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 |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # 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 |
|
|
