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---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- automatic-speech-recognition
- ./data-configs/btb-cv-other.json
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xlsr-53-ft-btb-cv-other-cy
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-other-cy
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: 0.4934
- Wer: 0.3776
## 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 |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 5.1054 | 0.0755 | 500 | 2.8161 | 1.0 |
| 1.4196 | 0.1509 | 1000 | 1.1687 | 0.7941 |
| 1.0028 | 0.2264 | 1500 | 0.9890 | 0.6953 |
| 0.8942 | 0.3019 | 2000 | 0.8935 | 0.6195 |
| 0.8285 | 0.3774 | 2500 | 0.8221 | 0.6075 |
| 0.763 | 0.4528 | 3000 | 0.7165 | 0.5307 |
| 0.7203 | 0.5283 | 3500 | 0.6892 | 0.5054 |
| 0.7051 | 0.6038 | 4000 | 0.6848 | 0.5070 |
| 0.6568 | 0.6792 | 4500 | 0.6342 | 0.4926 |
| 0.6315 | 0.7547 | 5000 | 0.5956 | 0.4494 |
| 0.6171 | 0.8302 | 5500 | 0.5533 | 0.4305 |
| 0.5717 | 0.9057 | 6000 | 0.5360 | 0.4212 |
| 0.5699 | 0.9811 | 6500 | 0.5184 | 0.4040 |
| 0.4905 | 1.0566 | 7000 | 0.5081 | 0.3967 |
| 0.4706 | 1.1321 | 7500 | 0.4991 | 0.3825 |
| 0.4614 | 1.2075 | 8000 | 0.4934 | 0.3776 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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