|
--- |
|
language: |
|
- fr |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: openai/whisper-small |
|
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. --> |
|
|
|
# openai/whisper-small |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the pphuc25/FrenchMed dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.2271 |
|
- Wer: 40.1026 |
|
|
|
## 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: 0.0001 |
|
- 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: 100 |
|
- num_epochs: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.8705 | 1.0 | 215 | 0.8589 | 164.5161 | |
|
| 0.6103 | 2.0 | 430 | 0.8569 | 150.7331 | |
|
| 0.3958 | 3.0 | 645 | 0.9063 | 72.4340 | |
|
| 0.2181 | 4.0 | 860 | 0.9451 | 94.7947 | |
|
| 0.137 | 5.0 | 1075 | 0.9824 | 113.8563 | |
|
| 0.0827 | 6.0 | 1290 | 1.0459 | 68.6950 | |
|
| 0.0429 | 7.0 | 1505 | 1.0825 | 86.7302 | |
|
| 0.0259 | 8.0 | 1720 | 1.1261 | 113.0499 | |
|
| 0.0215 | 9.0 | 1935 | 1.1081 | 44.6481 | |
|
| 0.0161 | 10.0 | 2150 | 1.1658 | 64.5161 | |
|
| 0.007 | 11.0 | 2365 | 1.1593 | 38.9296 | |
|
| 0.0048 | 12.0 | 2580 | 1.1756 | 39.0029 | |
|
| 0.0032 | 13.0 | 2795 | 1.1836 | 37.5367 | |
|
| 0.002 | 14.0 | 3010 | 1.1991 | 38.9296 | |
|
| 0.0038 | 15.0 | 3225 | 1.2011 | 37.7566 | |
|
| 0.0011 | 16.0 | 3440 | 1.2117 | 40.7625 | |
|
| 0.001 | 17.0 | 3655 | 1.2195 | 38.5630 | |
|
| 0.0009 | 18.0 | 3870 | 1.2237 | 40.1760 | |
|
| 0.0008 | 19.0 | 4085 | 1.2262 | 39.9560 | |
|
| 0.0008 | 20.0 | 4300 | 1.2271 | 40.1026 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
