metadata
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: []
wav2vec2-xlsr-53-ft-btb-cv-other-cy
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.3727
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 |
|---|---|---|---|---|
| 4.9036 | 0.0643 | 500 | inf | 0.9912 |
| 1.3889 | 0.1286 | 1000 | inf | 0.7934 |
| 1.0207 | 0.1929 | 1500 | inf | 0.6829 |
| 0.8901 | 0.2572 | 2000 | inf | 0.6450 |
| 0.8467 | 0.3215 | 2500 | inf | 0.5458 |
| 0.7813 | 0.3859 | 3000 | inf | 0.5367 |
| 0.7456 | 0.4502 | 3500 | inf | 0.5156 |
| 0.7312 | 0.5145 | 4000 | inf | 0.4801 |
| 0.6929 | 0.5788 | 4500 | inf | 0.4659 |
| 0.6567 | 0.6431 | 5000 | inf | 0.4405 |
| 0.6413 | 0.7074 | 5500 | inf | 0.4199 |
| 0.6187 | 0.7717 | 6000 | inf | 0.4102 |
| 0.6086 | 0.8360 | 6500 | inf | 0.4037 |
| 0.585 | 0.9003 | 7000 | inf | 0.3872 |
| 0.5509 | 0.9646 | 7500 | inf | 0.3832 |
| 0.5263 | 1.0289 | 8000 | inf | 0.3727 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1