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---
license: apache-2.0
tags:
- automatic-speech-recognition
- /workspace/data/uk/noizy_student_1/
- generated_from_trainer
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-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the /WORKSPACE/DATA/UK/NOIZY_STUDENT_1/ - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1285
- Wer: 0.1821
- Cer: 0.0342
## 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-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 10000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Cer | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:------:|:---------------:|:------:|
| 1.2323 | 3.22 | 500 | 0.0797 | 0.2816 | 0.4133 |
| 0.9826 | 6.45 | 1000 | 0.0514 | 0.1970 | 0.2688 |
| 0.8628 | 9.67 | 1500 | 0.0474 | 0.1649 | 0.2485 |
| 0.8348 | 12.9 | 2000 | 0.0467 | 0.1605 | 0.2460 |
| 0.8186 | 16.13 | 2500 | 0.0469 | 0.1608 | 0.2469 |
| 0.8011 | 19.35 | 3000 | 0.1620 | 0.2412 | 0.0468 |
| 0.807 | 22.58 | 3500 | 0.1737 | 0.2524 | 0.0498 |
| 0.7758 | 25.8 | 4000 | 0.1709 | 0.2536 | 0.0498 |
| 0.7923 | 29.03 | 4500 | 0.1645 | 0.2436 | 0.0474 |
| 0.7717 | 32.26 | 5000 | 0.1811 | 0.2636 | 0.0524 |
| 0.7447 | 35.48 | 5500 | 0.1635 | 0.2405 | 0.0468 |
| 0.7267 | 38.71 | 6000 | 0.1578 | 0.2354 | 0.0462 |
| 0.7046 | 41.93 | 6500 | 0.1555 | 0.2296 | 0.0444 |
| 0.6896 | 45.16 | 7000 | 0.1548 | 0.2272 | 0.0439 |
| 0.6575 | 48.38 | 7500 | 0.1432 | 0.2096 | 0.0399 |
| 0.6264 | 51.61 | 8000 | 0.1466 | 0.2056 | 0.0398 |
| 0.589 | 54.83 | 8500 | 0.1351 | 0.1943 | 0.0371 |
| 0.573 | 58.06 | 9000 | 0.1387 | 0.1934 | 0.0365 |
| 0.5537 | 61.29 | 9500 | 0.1328 | 0.1883 | 0.0353 |
| 0.544 | 64.51 | 10000 | 0.1285 | 0.1821 | 0.0342 |
### Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2
- Datasets 1.18.4.dev0
- Tokenizers 0.11.0
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