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---
library_name: transformers
license: apache-2.0
base_model: r-f/wav2vec-english-speech-emotion-recognition
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
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. -->
# results
This model is a fine-tuned version of [r-f/wav2vec-english-speech-emotion-recognition](https://huggingface.co/r-f/wav2vec-english-speech-emotion-recognition) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1011
- Accuracy: 0.9724
## 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: 0.001
- train_batch_size: 10
- eval_batch_size: 5
- seed: 42
- optimizer: Use OptimizerNames.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_steps: 50
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4918 | 1.0 | 232 | 1.3591 | 0.3672 |
| 1.0899 | 2.0 | 464 | 0.9012 | 0.5672 |
| 0.9523 | 3.0 | 696 | 1.2430 | 0.4862 |
| 0.8062 | 4.0 | 928 | 0.6423 | 0.7759 |
| 0.5591 | 5.0 | 1160 | 0.5161 | 0.8276 |
| 0.4538 | 6.0 | 1392 | 0.6369 | 0.8069 |
| 0.3527 | 7.0 | 1624 | 0.2526 | 0.9207 |
| 0.3833 | 8.0 | 1856 | 0.2226 | 0.9328 |
| 0.2532 | 9.0 | 2088 | 0.1955 | 0.9466 |
| 0.1296 | 10.0 | 2320 | 0.1860 | 0.9483 |
| 0.144 | 11.0 | 2552 | 0.1885 | 0.9552 |
| 0.1976 | 12.0 | 2784 | 0.1243 | 0.9655 |
| 0.0147 | 13.0 | 3016 | 0.1375 | 0.9655 |
| 0.0149 | 14.0 | 3248 | 0.1061 | 0.9776 |
| 0.0199 | 15.0 | 3480 | 0.1011 | 0.9724 |
### Framework versions
- Transformers 4.53.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
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