|
|
--- |
|
|
base_model: openai/whisper-large-v3 |
|
|
datasets: |
|
|
- b-brave/speech_disorders_voice |
|
|
language: |
|
|
- it |
|
|
library_name: peft |
|
|
license: apache-2.0 |
|
|
metrics: |
|
|
- wer |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: Whisper Large v3 |
|
|
results: |
|
|
- task: |
|
|
type: automatic-speech-recognition |
|
|
name: Automatic Speech Recognition |
|
|
dataset: |
|
|
name: b-brave/speech_disorders_voice |
|
|
type: b-brave/speech_disorders_voice |
|
|
config: default |
|
|
split: train |
|
|
args: default |
|
|
metrics: |
|
|
- type: wer |
|
|
value: 23.517382413087933 |
|
|
name: Wer |
|
|
--- |
|
|
|
|
|
<!-- 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 |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the b-brave/speech_disorders_voice dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.3055 |
|
|
- Wer: 23.5174 |
|
|
|
|
|
## 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: 0.001 |
|
|
- train_batch_size: 32 |
|
|
- eval_batch_size: 16 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 2 |
|
|
- total_train_batch_size: 64 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_steps: 128 |
|
|
- training_steps: 256 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
|
| 1.3683 | 0.9481 | 64 | 0.3394 | 19.8364 | |
|
|
| 0.1165 | 1.8963 | 128 | 0.3326 | 15.3374 | |
|
|
| 0.0332 | 2.8444 | 192 | 0.3112 | 19.6319 | |
|
|
| 0.013 | 3.7926 | 256 | 0.3055 | 23.5174 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.12.0 |
|
|
- Transformers 4.44.2 |
|
|
- Pytorch 2.2.0 |
|
|
- Datasets 2.21.0 |
|
|
- Tokenizers 0.19.1 |
