metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-rus
results: []
whisper-tiny-rus
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: 0.4508
- Wer: 37.6577
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use 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: 100
- training_steps: 600
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6166 | 0.3984 | 100 | 0.6163 | 45.3709 |
| 0.5109 | 0.7968 | 200 | 0.5225 | 41.1251 |
| 0.4615 | 1.1952 | 300 | 0.4850 | 39.6391 |
| 0.4377 | 1.5936 | 400 | 0.4664 | 38.5069 |
| 0.433 | 1.9920 | 500 | 0.4544 | 37.6695 |
| 0.4186 | 2.3904 | 600 | 0.4508 | 37.6577 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.1.0+cu118
- Datasets 3.4.0
- Tokenizers 0.21.1