|
--- |
|
language: |
|
- multilingual |
|
license: apache-2.0 |
|
base_model: openai/whisper-medium |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: model trenovan na en-de-en not simlar setu, nastaveni jazyka en |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: xbilek25/train_set_1st_1000_de_en_de |
|
type: mozilla-foundation/common_voice_11_0 |
|
args: 'config: ende, split: train' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 14.517374517374519 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# model trenovan na en-de-en not simlar setu, nastaveni jazyka en |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the xbilek25/train_set_1st_1000_de_en_de dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3121 |
|
- Wer: 14.5174 |
|
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.15.2 |
|
|
