metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-large
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Large SSD superU
results: []
Whisper Large SSD superU
This model is a fine-tuned version of openai/whisper-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.2685
- Wer: 166.6349
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.1121 | 3.125 | 100 | 3.5671 | 154.6120 |
| 2.6613 | 6.25 | 200 | 2.8860 | 158.7150 |
| 1.8679 | 9.375 | 300 | 2.8342 | 143.7977 |
| 1.1096 | 12.5 | 400 | 3.0283 | 167.7163 |
| 0.563 | 15.625 | 500 | 3.2773 | 167.3982 |
| 0.2032 | 18.75 | 600 | 3.4815 | 167.4618 |
| 0.0899 | 21.875 | 700 | 3.6164 | 151.9720 |
| 0.0431 | 25.0 | 800 | 3.7659 | 154.4211 |
| 0.0262 | 28.125 | 900 | 3.8327 | 188.4860 |
| 0.0264 | 31.25 | 1000 | 3.8547 | 173.1234 |
| 0.0118 | 34.375 | 1100 | 3.9458 | 184.9237 |
| 0.0076 | 37.5 | 1200 | 4.0480 | 178.3079 |
| 0.0036 | 40.625 | 1300 | 4.1518 | 159.7964 |
| 0.0014 | 43.75 | 1400 | 4.1739 | 164.6310 |
| 0.0011 | 46.875 | 1500 | 4.2014 | 173.6641 |
| 0.001 | 50.0 | 1600 | 4.2262 | 147.2646 |
| 0.001 | 53.125 | 1700 | 4.2510 | 159.1921 |
| 0.0009 | 56.25 | 1800 | 4.2570 | 168.0025 |
| 0.0009 | 59.375 | 1900 | 4.2650 | 166.7621 |
| 0.0008 | 62.5 | 2000 | 4.2685 | 166.6349 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1