File size: 2,056 Bytes
4a89742 fff3f4b 89c2ab0 fff3f4b 89c2ab0 fff3f4b 89c2ab0 fff3f4b 89c2ab0 ea29a65 fff3f4b 89c2ab0 fff3f4b 89c2ab0 fff3f4b 89c2ab0 fff3f4b 4a89742 89c2ab0 4a89742 fff3f4b 4a89742 fff3f4b 89c2ab0 fff3f4b 4a89742 89c2ab0 4a89742 89c2ab0 4a89742 89c2ab0 4a89742 89c2ab0 4a89742 89c2ab0 4a89742 89c2ab0 4a89742 89c2ab0 4a89742 89c2ab0 4a89742 89c2ab0 fff3f4b 8cbc9b1 fff3f4b 89c2ab0 fff3f4b 8cbc9b1 4a89742 89c2ab0 4a89742 fff3f4b 4a89742 89c2ab0 4a89742 89c2ab0 fff3f4b 89c2ab0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 |
---
language:
- id
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Small Id - Ezra William
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 13.0
type: mozilla-foundation/common_voice_13_0
config: id
split: None
args: 'config: id, split: test'
metrics:
- name: Wer
type: wer
value: 17.216589861751153
---
<!-- 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 Small Id - Ezra William
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3271
- Wer: 17.2166
## 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.1836 | 1.9194 | 1000 | 0.2526 | 17.7512 |
| 0.0409 | 3.8388 | 2000 | 0.2741 | 17.4885 |
| 0.0046 | 5.7582 | 3000 | 0.3143 | 17.3548 |
| 0.0022 | 7.6775 | 4000 | 0.3271 | 17.2166 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|