---
library_name: transformers
license: cc-by-sa-4.0
base_model: airesearch/wav2vec2-large-xlsr-53-th
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c-10ep
  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. -->

# wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c-10ep

This model is a fine-tuned version of [airesearch/wav2vec2-large-xlsr-53-th](https://huggingface.co/airesearch/wav2vec2-large-xlsr-53-th) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4026
- Accuracy: 0.8579

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.0361        | 0.9956 | 57   | 0.9022          | 0.6033   |
| 0.6365        | 1.9913 | 114  | 0.6374          | 0.7322   |
| 0.5076        | 2.9869 | 171  | 0.4952          | 0.7967   |
| 0.4822        | 4.0    | 229  | 0.4808          | 0.8098   |
| 0.4601        | 4.9956 | 286  | 0.4637          | 0.8306   |
| 0.3938        | 5.9913 | 343  | 0.4559          | 0.8317   |
| 0.365         | 6.9869 | 400  | 0.4052          | 0.8546   |
| 0.3498        | 8.0    | 458  | 0.3902          | 0.8590   |
| 0.3246        | 8.9956 | 515  | 0.4144          | 0.8546   |
| 0.3388        | 9.9563 | 570  | 0.4026          | 0.8579   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1