metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- model_eng
metrics:
- wer
model-index:
- name: VoiceMath-Tiny
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: 9.442870632672333
VoiceMath-Tiny
This model is a fine-tuned version of openai/whisper-tiny.en on the model_eng dataset. It achieves the following results on the evaluation set:
- Loss: 0.0162
- Wer: 9.4429
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 15 | 0.2506 | 15.9585 |
| No log | 2.0 | 30 | 0.1447 | 13.9754 |
| No log | 3.0 | 45 | 0.0945 | 11.4259 |
| No log | 4.0 | 60 | 0.0657 | 11.7092 |
| No log | 5.0 | 75 | 0.0480 | 11.4259 |
| No log | 6.0 | 90 | 0.0322 | 9.9150 |
| No log | 7.0 | 105 | 0.0243 | 10.1983 |
| No log | 8.0 | 120 | 0.0196 | 9.2540 |
| No log | 9.0 | 135 | 0.0171 | 9.4429 |
| No log | 10.0 | 150 | 0.0162 | 9.4429 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3