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---
base_model: facebook/wav2vec2-xls-r-300m
datasets:
- mozilla-foundation/common_voice_17
language:
- tr
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: 'Wav2Vec2-XLS-TR '
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-TR
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the Common Voice 17 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2925
## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6208 | 1.0 | 2901 | 0.3714 |
| 0.4852 | 2.0 | 5802 | 0.3358 |
| 0.4807 | 3.0 | 8703 | 0.4309 |
| 0.441 | 4.0 | 11604 | 0.4345 |
| 0.3965 | 5.0 | 14505 | 0.3815 |
| 0.3429 | 6.0 | 17406 | 0.3601 |
| 0.3074 | 7.0 | 20307 | 0.3551 |
| 0.2913 | 8.0 | 23208 | 0.3477 |
| 0.2744 | 9.0 | 26109 | 0.3262 |
| 0.2611 | 10.0 | 29010 | 0.3225 |
| 0.2359 | 11.0 | 31911 | 0.3244 |
| 0.2398 | 12.0 | 34812 | 0.3053 |
| 0.2085 | 13.0 | 37713 | 0.3058 |
| 0.1903 | 14.0 | 40614 | 0.3219 |
| 0.1827 | 15.0 | 43515 | 0.2911 |
| 0.1654 | 16.0 | 46416 | 0.2890 |
| 0.1548 | 17.0 | 49317 | 0.2945 |
| 0.1467 | 18.0 | 52218 | 0.2807 |
| 0.1399 | 19.0 | 55119 | 0.2914 |
| 0.1272 | 20.0 | 58020 | 0.2974 |
| 0.1162 | 21.0 | 60921 | 0.2991 |
| 0.1056 | 22.0 | 63822 | 0.2743 |
| 0.1004 | 23.0 | 66723 | 0.2932 |
| 0.0926 | 24.0 | 69624 | 0.2806 |
| 0.0855 | 25.0 | 72525 | 0.2872 |
| 0.0802 | 26.0 | 75426 | 0.2732 |
| 0.078 | 27.0 | 78327 | 0.2844 |
| 0.0689 | 28.0 | 81228 | 0.2884 |
| 0.0634 | 29.0 | 84129 | 0.2925 |
| 0.0616 | 30.0 | 87030 | 0.2925 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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