|
--- |
|
language: |
|
- fr |
|
license: apache-2.0 |
|
base_model: openai/whisper-large-v3 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper large v3 FR D&D - Joey Martig |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# Whisper large v3 FR D&D - Joey Martig |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1264 |
|
- Wer: 33.4454 |
|
|
|
## 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-06 |
|
- train_batch_size: 8 |
|
- 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: 50 |
|
- num_epochs: 20 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| No log | 1.0 | 7 | 1.0810 | 38.6555 | |
|
| No log | 2.0 | 14 | 1.0631 | 38.7395 | |
|
| No log | 3.0 | 21 | 0.9919 | 38.1513 | |
|
| No log | 4.0 | 28 | 0.9135 | 37.3109 | |
|
| No log | 5.0 | 35 | 0.7922 | 37.0588 | |
|
| No log | 6.0 | 42 | 0.7013 | 35.6303 | |
|
| No log | 7.0 | 49 | 0.6073 | 34.6218 | |
|
| No log | 8.0 | 56 | 0.5099 | 45.5462 | |
|
| No log | 9.0 | 63 | 0.4297 | 40.0 | |
|
| No log | 10.0 | 70 | 0.3603 | 33.4454 | |
|
| No log | 11.0 | 77 | 0.3024 | 33.4454 | |
|
| No log | 12.0 | 84 | 0.2540 | 33.4454 | |
|
| No log | 13.0 | 91 | 0.2196 | 33.4454 | |
|
| No log | 14.0 | 98 | 0.1907 | 33.4454 | |
|
| No log | 15.0 | 105 | 0.1695 | 36.7227 | |
|
| No log | 16.0 | 112 | 0.1536 | 36.7227 | |
|
| No log | 17.0 | 119 | 0.1421 | 33.4454 | |
|
| No log | 18.0 | 126 | 0.1336 | 33.4454 | |
|
| No log | 19.0 | 133 | 0.1282 | 33.4454 | |
|
| No log | 20.0 | 140 | 0.1264 | 33.4454 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.43.0.dev0 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
