metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- automatic-speech-recognition
- DewiBrynJones/banc-trawsgrifiadau-bangor-clean-with-ccv
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xlsr-53-ft-btb-ccv-cy
results: []
wav2vec2-xlsr-53-ft-btb-ccv-cy
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-CLEAN-WITH-CCV - DEFAULT dataset. It achieves the following results on the evaluation set:
- Loss: 1.8413
- Wer: 0.9956
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: 16
- 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: 600
- training_steps: 6000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.0672 | 200 | 3.0805 | 1.0 |
| No log | 0.1344 | 400 | 2.9226 | 1.0 |
| 4.4646 | 0.2016 | 600 | 1.3392 | 0.8646 |
| 4.4646 | 0.2688 | 800 | 1.0115 | 0.7168 |
| 1.1042 | 0.3360 | 1000 | 0.9009 | 0.6767 |
| 1.1042 | 0.4032 | 1200 | 0.8226 | 0.5948 |
| 1.1042 | 0.4704 | 1400 | 0.8068 | 0.5977 |
| 0.8421 | 0.5376 | 1600 | 0.7186 | 0.5375 |
| 0.8421 | 0.6048 | 1800 | 0.7201 | 0.5561 |
| 0.7637 | 0.6720 | 2000 | 0.6747 | 0.5087 |
| 0.7637 | 0.7392 | 2200 | 0.6709 | 0.5051 |
| 0.7637 | 0.8065 | 2400 | 0.6484 | 0.4850 |
| 0.7134 | 0.8737 | 2600 | 0.6388 | 0.4915 |
| 0.7134 | 0.9409 | 2800 | 0.6279 | 0.4705 |
| 0.6968 | 1.0081 | 3000 | 0.6452 | 0.4833 |
| 0.6968 | 1.0753 | 3200 | 0.6439 | 0.4897 |
| 0.6968 | 1.1425 | 3400 | 0.6750 | 0.5010 |
| 0.667 | 1.2097 | 3600 | 0.7904 | 0.5592 |
| 0.667 | 1.2769 | 3800 | 0.9480 | 0.5801 |
| 0.9326 | 1.3441 | 4000 | 1.1457 | 0.6582 |
| 0.9326 | 1.4113 | 4200 | 1.1183 | 0.6742 |
| 0.9326 | 1.4785 | 4400 | 1.3061 | 0.7807 |
| 1.2308 | 1.5457 | 4600 | 1.2299 | 0.7672 |
| 1.2308 | 1.6129 | 4800 | 1.1784 | 0.7517 |
| 1.2835 | 1.6801 | 5000 | 1.3398 | 0.7625 |
| 1.2835 | 1.7473 | 5200 | 1.5754 | 0.8956 |
| 1.2835 | 1.8145 | 5400 | 1.7280 | 0.9706 |
| 1.6466 | 1.8817 | 5600 | 1.7603 | 0.9727 |
| 1.6466 | 1.9489 | 5800 | 1.8200 | 0.9944 |
| 1.8511 | 2.0161 | 6000 | 1.8413 | 0.9956 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1