edcastr_ASR_LatinSpanishAllLocale
This model is a fine-tuned version of openai/whisper-large-v3-turbo on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0260
- Wer: 0.0146
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: 64
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2915 | 5.0 | 200 | 0.0260 | 0.0146 |
Framework versions
- Transformers 5.5.0
- Pytorch 2.5.1+cu121
- Datasets 4.8.4
- Tokenizers 0.22.2
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Model tree for Edcastro/edcastr_ASR_LatinSpanishAllLocale
Base model
openai/whisper-large-v3 Finetuned
openai/whisper-large-v3-turbo