|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- fleurs |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: openai/whisper-tiny |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: fleurs |
|
type: fleurs |
|
config: sv_se |
|
split: validation |
|
args: sv_se |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 168.6092926712438 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# openai/whisper-tiny |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the fleurs dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0456 |
|
- Wer: 168.6093 |
|
|
|
## 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: 64 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.2 |
|
- training_steps: 112 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.5299 | 0.1 | 11 | 1.5622 | 219.6711 | |
|
| 1.1908 | 0.2 | 22 | 1.3652 | 192.2401 | |
|
| 1.1161 | 0.29 | 33 | 1.1921 | 200.2395 | |
|
| 0.9216 | 1.05 | 44 | 1.1263 | 186.5240 | |
|
| 0.8441 | 1.15 | 55 | 1.0946 | 179.3230 | |
|
| 0.8505 | 1.25 | 66 | 1.0748 | 159.6839 | |
|
| 0.7844 | 2.01 | 77 | 1.0585 | 163.2924 | |
|
| 0.7208 | 2.11 | 88 | 1.0491 | 158.1031 | |
|
| 0.6481 | 2.21 | 99 | 1.0468 | 158.5183 | |
|
| 0.7912 | 2.3 | 110 | 1.0456 | 168.6093 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.7.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
