File size: 1,403 Bytes
9989ae9 |
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 |
---
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 simi setu, nastaveni jazyka en overeni3
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: odpovidajici nazvu modelu
type: mozilla-foundation/common_voice_11_0
args: 'config: ende, split: train'
metrics:
- name: Wer
type: wer
value: 31.315296008572197
---
<!-- 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 simi setu, nastaveni jazyka en overeni3
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the odpovidajici nazvu modelu dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2841
- Wer: 31.3153
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Framework versions
- Transformers 4.37.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2
|