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library_name: transformers
license: mit
base_model: microsoft/speecht5_asr
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: speecht5-tunis_finalll
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. -->
# speecht5-tunis_finalll
This model is a fine-tuned version of [microsoft/speecht5_asr](https://huggingface.co/microsoft/speecht5_asr) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2003
- Wer Ortho: 62.9526
- Wer: 59.7855
## 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-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 1500
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Wer Ortho |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|
| 1.7381 | 0.3731 | 100 | 1.4437 | 213.9108 | 371.3889 |
| 0.8437 | 0.7463 | 200 | 0.5686 | 81.6273 | 80.5556 |
| 0.4461 | 1.1194 | 300 | 0.3668 | 77.4278 | 76.1111 |
| 0.3753 | 1.4925 | 400 | 0.2760 | 74.0157 | 72.7778 |
| 0.3416 | 1.8657 | 500 | 0.2392 | 84.7769 | 80.8333 |
| 0.2656 | 2.2388 | 600 | 0.2138 | 67.9790 | 67.7778 |
| 0.2706 | 2.6119 | 700 | 0.2085 | 77.1654 | 74.7222 |
| 0.2509 | 2.9851 | 800 | 0.1995 | 62.2047 | 63.0556 |
| 0.2314 | 3.3582 | 900 | 0.1949 | 61.6798 | 62.5 |
| 0.2806 | 3.7313 | 1000 | 0.1951 | 62.4672 | 63.3333 |
| 0.2254 | 4.1045 | 1100 | 0.1912 | 68.6111 | 69.2913 |
| 0.2674 | 4.4776 | 1200 | 0.1863 | 68.6111 | 69.8163 |
| 0.301 | 4.8507 | 1300 | 0.1862 | 67.5 | 67.9790 |
| 0.2354 | 5.2239 | 1400 | 0.1850 | 61.1111 | 59.8425 |
| 0.2349 | 5.5970 | 1500 | 0.1851 | 67.2222 | 67.7165 |
### Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
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