metadata
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-v3-finetuned-3
results: []
whisper-large-v3-finetuned-3
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4613
- Wer: 14.1303
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-08
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.6619 | 1.0 | 7532 | 0.9729 | 17.3462 |
| 0.3855 | 2.0 | 15064 | 0.6037 | 14.6585 |
| 0.0328 | 3.0 | 22596 | 0.4903 | 14.4165 |
| 0.2139 | 4.0 | 30128 | 0.4658 | 14.1668 |
| 0.1882 | 5.0 | 37660 | 0.4613 | 14.1303 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2