|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: razhan/whisper-base-hawrami |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- razhan/DOLMA-speech |
|
|
metrics: |
|
|
- wer |
|
|
model-index: |
|
|
- name: whisper-base-hawrami-transcription |
|
|
results: |
|
|
- task: |
|
|
name: Automatic Speech Recognition |
|
|
type: automatic-speech-recognition |
|
|
dataset: |
|
|
name: razhan/DOLMA-speech hawrami |
|
|
type: razhan/DOLMA-speech |
|
|
args: hawrami |
|
|
metrics: |
|
|
- name: Wer |
|
|
type: wer |
|
|
value: 0.40128824476650565 |
|
|
--- |
|
|
|
|
|
<!-- 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-base-hawrami-transcription |
|
|
|
|
|
This model is a fine-tuned version of [razhan/whisper-base-hawrami](https://huggingface.co/razhan/whisper-base-hawrami) on the razhan/DOLMA-speech hawrami dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.2612 |
|
|
- Wer: 0.4013 |
|
|
- Cer: 0.0856 |
|
|
|
|
|
## 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: 128 |
|
|
- eval_batch_size: 128 |
|
|
- seed: 42 |
|
|
- 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: 100 |
|
|
- num_epochs: 4.0 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
|
|
| 0.6798 | 1.0 | 80 | 0.5513 | 0.6855 | 0.1788 | |
|
|
| 0.3095 | 2.0 | 160 | 0.2984 | 0.4486 | 0.0972 | |
|
|
| 0.2673 | 3.0 | 240 | 0.2676 | 0.4143 | 0.0882 | |
|
|
| 0.2428 | 4.0 | 320 | 0.2612 | 0.4013 | 0.0856 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.49.0.dev0 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 3.2.0 |
|
|
- Tokenizers 0.21.0 |
|
|
|
