Flix-AI commited on
Commit
a9c347a
·
verified ·
1 Parent(s): 9b60f30

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +29 -26
README.md CHANGED
@@ -1,36 +1,36 @@
1
  ---
2
  language:
3
- - de
4
- - gsw
5
  license: apache-2.0
6
  library_name: transformers
7
  pipeline_tag: automatic-speech-recognition
8
  tags:
9
- - whisper
10
- - swiss-german
11
- - dialect
12
- - asr
13
- - speech-recognition
14
- - fine-tuned
15
  datasets:
16
- - i4ds/spc_r
17
  model-index:
18
- - name: flix-swissgerman-full
19
- results:
20
- - task:
21
- type: automatic-speech-recognition
22
- name: Speech Recognition
23
- dataset:
24
- type: custom
25
- name: ASGDTS (All Swiss German Dialects Test Set)
26
- config: full
27
- split: test
28
- args:
29
- samples: 5750
30
- metrics:
31
- - type: wer
32
- value: 25.60
33
- name: WER
34
  ---
35
 
36
  # flix-swissgerman-full
@@ -145,7 +145,10 @@ The training data covers all major Swiss German dialect regions:
145
  title={Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6\% WER (13.8\% cWER)},
146
  author={Akeret, Felix},
147
  year={2026},
148
- url={https://huggingface.co/Flix-AI/flix-swissgerman-full}
 
 
 
149
  }
150
  ```
151
 
 
1
  ---
2
  language:
3
+ - de
4
+ - gsw
5
  license: apache-2.0
6
  library_name: transformers
7
  pipeline_tag: automatic-speech-recognition
8
  tags:
9
+ - whisper
10
+ - swiss-german
11
+ - dialect
12
+ - asr
13
+ - speech-recognition
14
+ - fine-tuned
15
  datasets:
16
+ - i4ds/spc_r
17
  model-index:
18
+ - name: flix-swissgerman-full
19
+ results:
20
+ - task:
21
+ type: automatic-speech-recognition
22
+ name: Speech Recognition
23
+ dataset:
24
+ name: ASGDTS (All Swiss German Dialects Test Set)
25
+ type: custom
26
+ config: full
27
+ split: test
28
+ args:
29
+ samples: 5750
30
+ metrics:
31
+ - type: wer
32
+ value: 25.6
33
+ name: WER
34
  ---
35
 
36
  # flix-swissgerman-full
 
145
  title={Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6\% WER (13.8\% cWER)},
146
  author={Akeret, Felix},
147
  year={2026},
148
+ url={https://arxiv.org/abs/2606.07608},
149
+ eprint={2606.07608},
150
+ archivePrefix={arXiv},
151
+ primaryClass={cs.CL}
152
  }
153
  ```
154