|
--- |
|
library_name: peft |
|
language: |
|
- it |
|
license: cc-by-nc-4.0 |
|
base_model: nyrahealth/CrisperWhisper |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- b-brave-clean |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper-Crisper |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: b-brave-clean |
|
type: b-brave-clean |
|
config: default |
|
split: test |
|
args: default |
|
metrics: |
|
- type: wer |
|
value: 155.63816604708796 |
|
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-Crisper |
|
|
|
This model is a fine-tuned version of [nyrahealth/CrisperWhisper](https://huggingface.co/nyrahealth/CrisperWhisper) on the b-brave-clean dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2971 |
|
- Wer: 155.6382 |
|
- Cer: 74.4218 |
|
- Lr: 0.0000 |
|
|
|
## 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: 0.0003 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 8 |
|
- 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_ratio: 0.5 |
|
- num_epochs: 8 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Lr | |
|
|:-------------:|:------:|:----:|:---------------:|:---------:|:--------:|:------:| |
|
| 1.0227 | 1.0 | 335 | 0.8979 | 601.9827 | 363.8095 | 0.0001 | |
|
| 0.5552 | 2.0 | 670 | 0.5294 | 1520.4461 | 678.7302 | 0.0002 | |
|
| 0.4207 | 3.0 | 1005 | 0.4611 | 403.5936 | 219.1610 | 0.0002 | |
|
| 0.2025 | 4.0 | 1340 | 0.3812 | 346.8401 | 162.0408 | 0.0003 | |
|
| 0.1216 | 5.0 | 1675 | 0.3001 | 400.3717 | 203.6054 | 0.0002 | |
|
| 0.0478 | 6.0 | 2010 | 0.2932 | 198.6369 | 94.8299 | 0.0001 | |
|
| 0.0313 | 7.0 | 2345 | 0.3033 | 241.0161 | 115.3288 | 0.0001 | |
|
| 0.012 | 7.9776 | 2672 | 0.2971 | 155.6382 | 74.4218 | 0.0000 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.14.0 |
|
- Transformers 4.48.3 |
|
- Pytorch 2.2.0 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |