metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: fs-w-xavier-base
results: []
fs-w-xavier-base
This model is a fine-tuned version of openai/whisper-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3748
- Wer: 97.8158
- Cer: 77.1470
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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.6366 | 4.5872 | 500 | 3.6746 | 94.9193 | 77.2587 |
| 0.843 | 9.1743 | 1000 | 1.0679 | 99.8575 | 79.0879 |
| 0.388 | 13.7615 | 1500 | 0.6110 | 102.8965 | 81.0031 |
| 0.3226 | 18.3486 | 2000 | 0.4898 | 104.7958 | 86.9718 |
| 0.2976 | 22.9358 | 2500 | 0.4571 | 113.0579 | 88.8956 |
| 0.2679 | 27.5229 | 3000 | 0.4198 | 103.5613 | 80.5050 |
| 0.2327 | 32.1101 | 3500 | 0.4085 | 103.8462 | 82.1711 |
| 0.2099 | 36.6972 | 4000 | 0.3883 | 101.3295 | 78.2807 |
| 0.1959 | 41.2844 | 4500 | 0.3780 | 100.1425 | 77.5936 |
| 0.1681 | 45.8716 | 5000 | 0.3748 | 97.8158 | 77.1470 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0