|
--- |
|
library_name: peft |
|
language: |
|
- it |
|
license: apache-2.0 |
|
base_model: openai/whisper-medium |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- b-brave-clean |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Medium |
|
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: 69.19770773638967 |
|
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 Medium |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the b-brave-clean dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8245 |
|
- Wer: 69.1977 |
|
- Cer: 45.5477 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 16 |
|
- 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: 0.4 |
|
- num_epochs: 5 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
|
| 4.2121 | 1.0 | 251 | 4.2340 | 150.7163 | 87.2603 | |
|
| 1.0726 | 2.0 | 502 | 1.1107 | 79.9427 | 52.9288 | |
|
| 0.8421 | 3.0 | 753 | 0.9359 | 203.4384 | 152.2721 | |
|
| 0.6134 | 4.0 | 1004 | 0.8391 | 102.2923 | 77.7515 | |
|
| 0.4891 | 5.0 | 1255 | 0.8245 | 69.1977 | 45.5477 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.14.0 |
|
- Transformers 4.48.3 |
|
- Pytorch 2.2.0 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
