metadata
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-v3-finetuned-1
results: []
whisper-large-v3-finetuned-1
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: 1.8569
- Wer: 29.2098
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-09
- 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 |
|---|---|---|---|---|
| 1.0462 | 1.0 | 7532 | 1.9223 | 30.9785 |
| 0.4373 | 2.0 | 15064 | 1.8852 | 30.1356 |
| 0.6992 | 3.0 | 22596 | 1.8657 | 29.4302 |
| 1.6049 | 4.0 | 30128 | 1.8581 | 29.2253 |
| 1.0439 | 5.0 | 37660 | 1.8569 | 29.2098 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2