<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
whisper-tiny-full-data-v1
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: 0.5167
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: 0.0015
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- num_devices: 8
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1024
- training_steps: 63840
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5098 | 1.0 | 3192 | 1.8031 |
| 1.1616 | 2.0 | 6384 | 1.4578 |
| 1.0512 | 3.0 | 9576 | 1.3050 |
| 1.0219 | 4.0 | 12768 | 1.2848 |
| 0.9588 | 5.0 | 15960 | 1.2070 |
| 0.8933 | 6.0 | 19152 | 1.1487 |
| 0.8523 | 7.0 | 22344 | 1.0769 |
| 0.8058 | 8.0 | 25536 | 1.0350 |
| 0.7441 | 9.0 | 28728 | 0.9768 |
| 0.6941 | 10.0 | 31920 | 0.9111 |
| 0.6478 | 11.0 | 35112 | 0.8570 |
| 0.6015 | 12.0 | 38304 | 0.8058 |
| 0.5514 | 13.0 | 41496 | 0.7537 |
| 0.5175 | 14.0 | 44688 | 0.6989 |
| 0.4691 | 15.0 | 47880 | 0.6547 |
| 0.4343 | 16.0 | 51072 | 0.6162 |
| 0.4078 | 17.0 | 54264 | 0.5818 |
| 0.3788 | 18.0 | 57456 | 0.5503 |
| 0.3571 | 19.0 | 60648 | 0.5276 |
| 0.346 | 20.0 | 63840 | 0.5167 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.1.0a0+gitcc01568
- Datasets 2.12.0
- Tokenizers 0.13.3
