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---
language:
- mr
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- 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 MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - MR dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6693
- Wer: 0.5921
## 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: 7.5e-05
- train_batch_size: 32
- 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_steps: 2000
- num_epochs: 500.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:-----:|:---------------:|:------:|
| 4.9504 | 18.18 | 400 | 4.6730 | 1.0 |
| 3.3766 | 36.36 | 800 | 3.3464 | 1.0 |
| 3.1128 | 54.55 | 1200 | 3.0177 | 0.9980 |
| 1.7966 | 72.73 | 1600 | 0.8733 | 0.8039 |
| 1.4085 | 90.91 | 2000 | 0.5555 | 0.6458 |
| 1.1731 | 109.09 | 2400 | 0.4930 | 0.6438 |
| 1.0271 | 127.27 | 2800 | 0.4780 | 0.6093 |
| 0.9045 | 145.45 | 3200 | 0.4647 | 0.6578 |
| 0.807 | 163.64 | 3600 | 0.4505 | 0.5925 |
| 0.741 | 181.82 | 4000 | 0.4746 | 0.6025 |
| 0.6706 | 200.0 | 4400 | 0.5004 | 0.5844 |
| 0.6186 | 218.18 | 4800 | 0.4984 | 0.5997 |
| 0.5508 | 236.36 | 5200 | 0.5298 | 0.5636 |
| 0.5123 | 254.55 | 5600 | 0.5410 | 0.5110 |
| 0.4623 | 272.73 | 6000 | 0.5591 | 0.5383 |
| 0.4281 | 290.91 | 6400 | 0.5775 | 0.5600 |
| 0.4045 | 309.09 | 6800 | 0.5924 | 0.5580 |
| 0.3651 | 327.27 | 7200 | 0.5671 | 0.5684 |
| 0.343 | 345.45 | 7600 | 0.6083 | 0.5945 |
| 0.3085 | 363.64 | 8000 | 0.6243 | 0.5728 |
| 0.2941 | 381.82 | 8400 | 0.6245 | 0.5580 |
| 0.2735 | 400.0 | 8800 | 0.6458 | 0.5804 |
| 0.262 | 418.18 | 9200 | 0.6566 | 0.5824 |
| 0.2578 | 436.36 | 9600 | 0.6558 | 0.5965 |
| 0.2388 | 454.55 | 10000 | 0.6598 | 0.5993 |
| 0.2328 | 472.73 | 10400 | 0.6700 | 0.6041 |
| 0.2286 | 490.91 | 10800 | 0.6684 | 0.5957 |
### Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.4.dev0
- Tokenizers 0.11.0
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