metadata
license: apache-2.0
base_model: DewiBrynJones/whisper-large-v3-ft-cv-cy-train-all-plus-other-with-excluded
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-cv-cy-train-all-plus-other-with-excluded-ft-cv-tts
results: []
whisper-cv-cy-train-all-plus-other-with-excluded-ft-cv-tts
This model is a fine-tuned version of DewiBrynJones/whisper-large-v3-ft-cv-cy-train-all-plus-other-with-excluded on the DewiBrynJones/commonvoice_cy_tts train main dataset. It achieves the following results on the evaluation set:
- Loss: 0.2556
- Wer: 0.1934
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.23 | 0.4583 | 1000 | 0.2574 | 0.1992 |
| 0.1775 | 0.9166 | 2000 | 0.2527 | 0.2015 |
| 0.0978 | 1.3749 | 3000 | 0.2559 | 0.1951 |
| 0.0902 | 1.8332 | 4000 | 0.2556 | 0.1934 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1