metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-v2-ta_tf32_adamBetas_2
results: []
whisper-tiny-v2-ta_tf32_adamBetas_2
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3491
- Wer: 43.1477
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: 1.5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6508 | 0.11 | 300 | 0.5656 | 54.3341 |
| 0.4612 | 0.21 | 600 | 0.4615 | 50.4600 |
| 0.408 | 0.32 | 900 | 0.4190 | 47.4576 |
| 0.3692 | 0.42 | 1200 | 0.4001 | 52.0581 |
| 0.3486 | 0.53 | 1500 | 0.3858 | 51.2349 |
| 0.3245 | 0.63 | 1800 | 0.3791 | 45.6174 |
| 0.3274 | 0.74 | 2100 | 0.3632 | 42.1792 |
| 0.2985 | 0.84 | 2400 | 0.3566 | 43.7288 |
| 0.2849 | 0.95 | 2700 | 0.3548 | 43.3898 |
| 0.2717 | 1.05 | 3000 | 0.3491 | 43.1477 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.12.1
- Datasets 2.11.0
- Tokenizers 0.13.3