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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
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. -->
#
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 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0360
- Wer: 0.6551
## 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: 0.0004
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 800
- num_epochs: 200.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:-----:|:---------------:|:------:|
| 5.649 | 9.62 | 500 | 3.0038 | 1.0 |
| 1.6272 | 19.23 | 1000 | 0.7362 | 0.7819 |
| 1.1354 | 28.85 | 1500 | 0.6410 | 0.7111 |
| 1.0424 | 38.46 | 2000 | 0.6907 | 0.7431 |
| 0.9293 | 48.08 | 2500 | 0.7249 | 0.7102 |
| 0.8246 | 57.69 | 3000 | 0.7422 | 0.6966 |
| 0.7837 | 67.31 | 3500 | 0.7413 | 0.6813 |
| 0.7147 | 76.92 | 4000 | 0.7873 | 0.6930 |
| 0.6276 | 86.54 | 4500 | 0.8038 | 0.6677 |
| 0.6041 | 96.15 | 5000 | 0.8240 | 0.6831 |
| 0.5336 | 105.77 | 5500 | 0.8748 | 0.6749 |
| 0.4705 | 115.38 | 6000 | 0.9006 | 0.6497 |
| 0.43 | 125.0 | 6500 | 0.8954 | 0.6551 |
| 0.3859 | 134.62 | 7000 | 0.9074 | 0.6614 |
| 0.3342 | 144.23 | 7500 | 0.9693 | 0.6560 |
| 0.3155 | 153.85 | 8000 | 1.0073 | 0.6691 |
| 0.2673 | 163.46 | 8500 | 1.0170 | 0.6632 |
| 0.2409 | 173.08 | 9000 | 1.0304 | 0.6709 |
| 0.2189 | 182.69 | 9500 | 0.9965 | 0.6546 |
| 0.1973 | 192.31 | 10000 | 1.0360 | 0.6551 |
### Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0
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