|
--- |
|
library_name: peft |
|
license: apache-2.0 |
|
base_model: openai/whisper-large-v2 |
|
tags: |
|
- generated_from_trainer |
|
- multilingual |
|
- ASR |
|
- Open-Source |
|
- african-language |
|
- Songhoy |
|
language: |
|
- hsn |
|
- fr |
|
model-index: |
|
- name: songhoy-asr-v1 |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: songhoy-asr |
|
type: custom |
|
split: test |
|
args: |
|
language: hsn |
|
metrics: |
|
- name: Test WER |
|
type: wer |
|
value: 16.58 |
|
- name: Test CER |
|
type: cer |
|
value: 4.63 |
|
pipeline_tag: automatic-speech-recognition |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# songhoy-asr-v1-ic |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1897 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 32 |
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 50 |
|
- num_epochs: 4 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 0.3661 | 1.0 | 245 | 0.3118 | |
|
| 0.2712 | 2.0 | 490 | 0.2215 | |
|
| 0.2008 | 3.0 | 735 | 0.2011 | |
|
| 0.1518 | 3.9857 | 976 | 0.1897 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.14.1.dev0 |
|
- Transformers 4.50.0.dev0 |
|
- Pytorch 2.5.1+cu124 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
