metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: outout_model_EUBookShop_data_only
results: []
outout_model_EUBookShop_data_only
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1714
- Wer: 12.0282
It was trained only using the EUBookShop dataset for 20000 steps.
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- 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: 200
- training_steps: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3552 | 0.1652 | 5000 | 0.4031 | 23.3443 |
| 0.3810 | 0.3303 | 10000 | 0.2821 | 18.6306 |
| 0.2647 | 0.4955 | 15000 | 0.2088 | 13.6450 |
| 0.1948 | 0.6607 | 20000 | 0.1714 | 12.0282 |
Framework versions
- Transformers 5.0.1.dev0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2