|
|
--- |
|
|
library_name: transformers |
|
|
language: |
|
|
- fr |
|
|
license: apache-2.0 |
|
|
base_model: StephaneBah/whisper-small-rad-fr1.1 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- wer |
|
|
model-index: |
|
|
- name: Whisper Small Fr - Radiologie2.0 Encoder-Layer[0:3]+ LoRa(VO; FFN) |
|
|
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 Small Fr - Radiologie2.0 Encoder-Layer[0:3]+ LoRa(VO; FFN) |
|
|
|
|
|
This model is a fine-tuned version of [StephaneBah/whisper-small-rad-fr1.1](https://huggingface.co/StephaneBah/whisper-small-rad-fr1.1) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.8274 |
|
|
- Wer: 34.4912 |
|
|
|
|
|
## 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: 3e-05 |
|
|
- train_batch_size: 8 |
|
|
- eval_batch_size: 6 |
|
|
- seed: 3407 |
|
|
- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- training_steps: 1000 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
|
| No log | 6.25 | 100 | 0.8132 | 34.6130 | |
|
|
| No log | 12.5 | 200 | 0.8152 | 34.3083 | |
|
|
| No log | 18.75 | 300 | 0.8176 | 34.6740 | |
|
|
| No log | 25.0 | 400 | 0.8215 | 34.3083 | |
|
|
| 0.0001 | 31.25 | 500 | 0.8223 | 34.5521 | |
|
|
| 0.0001 | 37.5 | 600 | 0.8245 | 34.5521 | |
|
|
| 0.0001 | 43.75 | 700 | 0.8261 | 34.4912 | |
|
|
| 0.0001 | 50.0 | 800 | 0.8273 | 34.4912 | |
|
|
| 0.0001 | 56.25 | 900 | 0.8268 | 34.4912 | |
|
|
| 0.0 | 62.5 | 1000 | 0.8274 | 34.4912 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.51.3 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 3.6.0 |
|
|
- Tokenizers 0.21.2 |
|
|
|
