|
--- |
|
license: apache-2.0 |
|
base_model: yashcode00/wav2vec2-large-xlsr-indian-language-classification-featureExtractor |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: wav2vec2-large-xlsr-indian-language-classification-featureExtractor |
|
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-indian-language-classification-featureExtractor |
|
|
|
This model is a fine-tuned version of [yashcode00/wav2vec2-large-xlsr-indian-language-classification-featureExtractor](https://huggingface.co/yashcode00/wav2vec2-large-xlsr-indian-language-classification-featureExtractor) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2045 |
|
- Accuracy: 0.9484 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 100 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.0213 | 10.55 | 1000 | 0.2103 | 0.9460 | |
|
| 0.0192 | 21.11 | 2000 | 0.1935 | 0.9480 | |
|
| 0.0196 | 31.66 | 3000 | 0.2777 | 0.9278 | |
|
| 0.014 | 42.22 | 4000 | 0.1927 | 0.9480 | |
|
| 0.0141 | 52.77 | 5000 | 0.2184 | 0.9439 | |
|
| 0.0106 | 63.32 | 6000 | 0.2401 | 0.9348 | |
|
| 0.0112 | 73.88 | 7000 | 0.2206 | 0.9493 | |
|
| 0.0085 | 84.43 | 8000 | 0.1907 | 0.9526 | |
|
| 0.0079 | 94.99 | 9000 | 0.2052 | 0.9484 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0 |
|
- Pytorch 2.0.0 |
|
- Datasets 2.11.0 |
|
- Tokenizers 0.13.3 |
|
|
