metadata
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: []
wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c-10ep
This model is a fine-tuned version of 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