|
--- |
|
language: |
|
- en |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- alxfng/noisycommonvoice |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Base Noisy |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Noisy Common Voice |
|
type: alxfng/noisycommonvoice |
|
config: en |
|
split: None |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 59.32123598390824 |
|
--- |
|
|
|
<!-- 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 Noisy |
|
|
|
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Noisy Common Voice dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.4454 |
|
- Wer: 59.3212 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 4000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.3125 | 3.19 | 1000 | 1.0918 | 56.8476 | |
|
| 0.0585 | 6.39 | 2000 | 1.2650 | 58.9703 | |
|
| 0.0153 | 9.58 | 3000 | 1.3946 | 58.3412 | |
|
| 0.0066 | 12.78 | 4000 | 1.4454 | 59.3212 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.30.0.dev0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
