|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- model_eng |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: VoiceMath-Tiny-Tres |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: model_eng |
|
type: model_eng |
|
config: default |
|
split: None |
|
args: default |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 10.023201856148493 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# VoiceMath-Tiny-Tres |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the model_eng dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6083 |
|
- Wer: 10.0232 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| No log | 1.0 | 100 | 0.4361 | 10.6729 | |
|
| No log | 2.0 | 200 | 0.4749 | 10.1160 | |
|
| No log | 3.0 | 300 | 0.4844 | 14.8956 | |
|
| No log | 4.0 | 400 | 0.5087 | 10.3944 | |
|
| 0.1884 | 5.0 | 500 | 0.5732 | 9.7912 | |
|
| 0.1884 | 6.0 | 600 | 0.5863 | 9.9768 | |
|
| 0.1884 | 7.0 | 700 | 0.5934 | 9.9768 | |
|
| 0.1884 | 8.0 | 800 | 0.6067 | 10.0232 | |
|
| 0.1884 | 9.0 | 900 | 0.6051 | 10.1160 | |
|
| 0.001 | 10.0 | 1000 | 0.6083 | 10.0232 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.30.0.dev0 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.13.3 |
|
|
