|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- Speech-Emotion-Recognition |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- dusha_emotion_audio |
|
|
metrics: |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: Wav2vec2-xls-r-300m |
|
|
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-xls-r-300m |
|
|
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the KELONMYOSA/dusha_emotion_audio dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.5633 |
|
|
- Accuracy: 0.7970 |
|
|
|
|
|
## 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: 0.003 |
|
|
- train_batch_size: 1 |
|
|
- eval_batch_size: 1 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 4 |
|
|
- total_train_batch_size: 4 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_ratio: 0.1 |
|
|
- num_epochs: 5 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|
|:-------------:|:-----:|:------:|:---------------:|:--------:| |
|
|
| 0.7868 | 1.0 | 24170 | 0.7561 | 0.7318 | |
|
|
| 0.7147 | 2.0 | 48340 | 0.6984 | 0.7459 | |
|
|
| 0.669 | 3.0 | 72510 | 0.6263 | 0.7727 | |
|
|
| 0.6362 | 4.0 | 96680 | 0.5832 | 0.7902 | |
|
|
| 0.4476 | 5.0 | 120850 | 0.5633 | 0.7970 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.29.2 |
|
|
- Pytorch 2.0.1+cu117 |
|
|
- Datasets 2.12.0 |
|
|
- Tokenizers 0.13.3 |
|
|
|
