|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-large-v3 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- honzapucalek/impaired_v3_independent_all |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: impaired-v3-independent-all |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: honzapucalek/impaired_v3_independent_all cs |
|
type: honzapucalek/impaired_v3_independent_all |
|
config: cs |
|
split: test |
|
args: cs |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.4068825910931174 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# impaired-v3-independent-all |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the honzapucalek/impaired_v3_independent_all cs dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.4531 |
|
- Wer: 0.4069 |
|
|
|
## 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-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- 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: 500 |
|
- training_steps: 5000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.0077 | 13.99 | 1000 | 1.0277 | 0.3968 | |
|
| 0.0008 | 27.97 | 2000 | 1.2058 | 0.4008 | |
|
| 0.0001 | 41.96 | 3000 | 1.3848 | 0.4069 | |
|
| 0.0001 | 55.94 | 4000 | 1.4363 | 0.3998 | |
|
| 0.0001 | 69.93 | 5000 | 1.4531 | 0.4069 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.2 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.1 |
|
|
