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---
license: apache-2.0
tags:
- generated_from_trainer
pipeline_tag: automatic-speech-recognition
model-index:
name: iloko_model
---
<!-- 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. -->
# iloko_model
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0095
- Wer: 0.0840
## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.2784 | 1.11 | 100 | 2.9875 | 1.0 |
| 2.6899 | 2.22 | 200 | 2.6741 | 1.0 |
| 2.6177 | 3.33 | 300 | 2.6516 | 1.0 |
| 2.5327 | 4.44 | 400 | 2.4530 | 1.0 |
| 0.8653 | 5.56 | 500 | 0.5227 | 0.6547 |
| 0.3414 | 6.67 | 600 | 0.1830 | 0.2487 |
| 0.2299 | 7.78 | 700 | 0.1212 | 0.1877 |
| 0.1739 | 8.89 | 800 | 0.0843 | 0.1441 |
| 0.1242 | 10.0 | 900 | 0.0766 | 0.1441 |
| 0.1116 | 11.11 | 1000 | 0.0530 | 0.1145 |
| 0.0861 | 12.22 | 1100 | 0.0442 | 0.1047 |
| 0.1007 | 13.33 | 1200 | 0.0379 | 0.1023 |
| 0.0613 | 14.44 | 1300 | 0.0291 | 0.1006 |
| 0.0629 | 15.56 | 1400 | 0.0264 | 0.0961 |
| 0.047 | 16.67 | 1500 | 0.0238 | 0.0935 |
| 0.0797 | 17.78 | 1600 | 0.0226 | 0.0913 |
| 0.034 | 18.89 | 1700 | 0.0197 | 0.0893 |
| 0.0485 | 20.0 | 1800 | 0.0173 | 0.0905 |
| 0.0402 | 21.11 | 1900 | 0.0148 | 0.0902 |
| 0.0231 | 22.22 | 2000 | 0.0135 | 0.0891 |
| 0.0512 | 23.33 | 2100 | 0.0134 | 0.0861 |
| 0.0181 | 24.44 | 2200 | 0.0118 | 0.0842 |
| 0.0371 | 25.56 | 2300 | 0.0116 | 0.0867 |
| 0.0342 | 26.67 | 2400 | 0.0104 | 0.0863 |
| 0.0344 | 27.78 | 2500 | 0.0100 | 0.0850 |
| 0.0182 | 28.89 | 2600 | 0.0096 | 0.0839 |
| 0.0171 | 30.0 | 2700 | 0.0095 | 0.0840 |
### Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu102
- Datasets 1.13.3
- Tokenizers 0.10.3
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