metadata
license: apache-2.0
base_model: DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy
tags:
- automatic-speech-recognition
- ./data-configs/btb.json
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-btb-cv-ft-btb-cy
results: []
wav2vec2-btb-cv-ft-btb-cy
This model is a fine-tuned version of DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4557
- Wer: 0.3396
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: 200
- training_steps: 2200
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
No log | 0.1139 | 200 | 0.6802 | 0.5026 |
No log | 0.2278 | 400 | 0.6103 | 0.4519 |
1.9206 | 0.3417 | 600 | 0.5974 | 0.4537 |
1.9206 | 0.4556 | 800 | 0.5455 | 0.4205 |
0.6974 | 0.5695 | 1000 | 0.5195 | 0.4027 |
0.6974 | 0.6834 | 1200 | 0.5081 | 0.3879 |
0.6974 | 0.7973 | 1400 | 0.4813 | 0.3726 |
0.6384 | 0.9112 | 1600 | 0.4656 | 0.3612 |
0.6384 | 1.0251 | 1800 | 0.4568 | 0.3529 |
0.5551 | 1.1390 | 2000 | 0.4594 | 0.3417 |
0.5551 | 1.2528 | 2200 | 0.4557 | 0.3396 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1