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---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xlsr-53-ft-btb-cv-cy-cand
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-xlsr-53-ft-btb-cv-cy-cand
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.3598
## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 800
- training_steps: 8000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 4.6973 | 0.0714 | 500 | inf | 1.0 |
| 1.448 | 0.1428 | 1000 | inf | 0.7574 |
| 1.053 | 0.2142 | 1500 | inf | 0.6584 |
| 0.9304 | 0.2856 | 2000 | inf | 0.5963 |
| 0.8755 | 0.3569 | 2500 | inf | 0.5946 |
| 0.8238 | 0.4283 | 3000 | inf | 0.5392 |
| 0.7819 | 0.4997 | 3500 | inf | 0.4967 |
| 0.729 | 0.5711 | 4000 | inf | 0.4834 |
| 0.6923 | 0.6425 | 4500 | inf | 0.4564 |
| 0.7052 | 0.7139 | 5000 | inf | 0.4346 |
| 0.6675 | 0.7853 | 5500 | inf | 0.4163 |
| 0.6217 | 0.8567 | 6000 | inf | 0.3962 |
| 0.5954 | 0.9280 | 6500 | inf | 0.3883 |
| 0.5687 | 0.9994 | 7000 | inf | 0.3746 |
| 0.477 | 1.0708 | 7500 | inf | 0.3647 |
| 0.4804 | 1.1422 | 8000 | inf | 0.3598 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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