metadata
license: mit
base_model: bofenghuang/whisper-large-v3-french-distil-dec16
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper
results: []
whisper
This model is a fine-tuned version of bofenghuang/whisper-large-v3-french-distil-dec16 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1122
- Wer: 5.3589
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4042 | 0.38 | 20 | 0.2881 | 4.5501 |
| 0.3463 | 0.77 | 40 | 0.2060 | 4.3478 |
| 0.125 | 1.15 | 60 | 0.1498 | 4.7523 |
| 0.0606 | 1.54 | 80 | 0.1154 | 4.3478 |
| 0.0884 | 1.92 | 100 | 0.1026 | 4.8534 |
| 0.0189 | 2.31 | 120 | 0.0995 | 4.8534 |
| 0.0235 | 2.69 | 140 | 0.1085 | 4.6512 |
| 0.0126 | 3.08 | 160 | 0.1100 | 4.6512 |
| 0.0096 | 3.46 | 180 | 0.1114 | 5.2578 |
| 0.0214 | 3.85 | 200 | 0.1122 | 5.3589 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1