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Final model

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Files changed (5) hide show
  1. README.md +44 -44
  2. predictions.csv +0 -0
  3. pytorch_model.bin +1 -1
  4. tokenizer_config.json +1 -1
  5. trainer_state.json +1213 -0
README.md CHANGED
@@ -26,7 +26,7 @@ model-index:
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  metrics:
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  - name: Test WER
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  type: wer
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- value: 10.74
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31
  ---
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@@ -136,65 +136,65 @@ for i in max_items:
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  **Output:**
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  ```text
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- reference: lögregla rakti sporin í snjónum
140
- predicted: lögregla rakti sporinn í snjónum
141
  ---
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- reference: vaðlatúni
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- predicted: vaðlatúni
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  ---
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- reference: mykjunesi
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- predicted: mikjunesi
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  ---
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- reference: miðey
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- predicted: miðey
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  ---
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- reference: tveir mótmæla við stjórnarráðsbygginguna
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- predicted: tveir mótmæla við stjórnarráðsbegginguna
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  ---
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- reference: furðustrandir mest selda bók ársins
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- predicted: furðustrandir mest seldabók ársins
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  ---
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- reference: flekar brenndir í kvöld
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- predicted: flekar brenndir í kvöld
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  ---
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- reference: ástæðan er sögð eldgosið í grímsvötnum
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- predicted: ástæðan er sögð eldgosið í grímsvötnum
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  ---
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- reference: birtingur
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- predicted: birtingur
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  ---
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- reference: tvöþúsund og átján
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- predicted: tvöþúsund og átján
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  ---
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- reference: einfríður
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- predicted: einfríður
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  ---
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- reference: dalhúsum
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- predicted: dalhúsum
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  ---
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- reference: sex stútar á ferð
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- predicted: sex stútar á ferð
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  ---
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- reference: eyjamenn áfram í toppbaráttu
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- predicted: eyjamenn áfram í toppbaráttu
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  ---
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- reference: þetta októberkvöld sýndi sitt rétta andlit með hráslagakulda frá vatninu
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- predicted: þetta októberkvöld sýnsint réttla andlit með hráslagakulda frá vatninu
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  ---
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- reference: jes
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- predicted: js
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  ---
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- reference: hersveitirnar benda hvor á aðra
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- predicted: hersveitirnar benda hvor á aðra
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  ---
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- reference: þetta er hráskinnsleikur stórvelda eins og hver maður vissi
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- predicted: þetta er hráskinnsleikur stórvelda eins og hver maður vissi
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  ---
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- reference: umferð efstu deildar hófst
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- predicted: umferð efstu deildar hófst
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  ---
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- reference: freisting is
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- predicted: freisting is
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  ---
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  ```
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@@ -264,15 +264,15 @@ print("WER: {:.2f}".format(100 * wer.compute(predictions=result["predicted"], re
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  **Test Result**:
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- - WER: 10.74%
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  ## Training & Report
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  The Common Voice `train`, `validation` datasets were used for training.
272
 
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- You can see the training states [here](#)
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- The script used for training can be found [here](#)
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  ## Questions?
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  metrics:
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  - name: Test WER
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  type: wer
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+ value: 09.21
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  ---
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136
 
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  **Output:**
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  ```text
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+ reference: eða eitthvað annað dýr
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+ predicted: eða eitthvað annað dýr
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  ---
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+ reference: oddgerður
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+ predicted: oddgerður
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  ---
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+ reference: eiðný
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+ predicted: eiðný
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  ---
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+ reference: löndum
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+ predicted: löndum
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  ---
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+ reference: tileinkaði bróður sínum markið
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+ predicted: tileinkaði bróður sínum markið
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  ---
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+ reference: þetta er svo mikill hégómi
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+ predicted: þetta er svo mikill hégómi
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  ---
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+ reference: timarit is
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+ predicted: timarit is
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  ---
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+ reference: stefna strax upp aftur
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+ predicted: stefna strax upp aftur
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  ---
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+ reference: brekkuflöt
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+ predicted: brekkuflöt
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  ---
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+ reference: áætlunarferð frestað vegna veðurs
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+ predicted: áætluna ferð frestað vegna veðurs
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  ---
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+ reference: sagði af sér vegna kláms
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+ predicted: sagði af sér vegni kláms
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  ---
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+ reference: grímúlfur
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+ predicted: grímúlgur
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  ---
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+ reference: lýsti sig saklausan
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+ predicted: lýsti sig saklausan
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  ---
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+ reference: belgingur is
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+ predicted: belgingur is
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  ---
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+ reference: sambía
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+ predicted: sambía
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  ---
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+ reference: geirastöðum
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+ predicted: geirastöðum
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  ---
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+ reference: varð tvisvar fyrir eigin bíl
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+ predicted: var tvisvar fyrir eigin bíl
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  ---
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+ reference: reykjavöllum
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+ predicted: reykjavöllum
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  ---
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+ reference: miklir menn eru þeir þremenningar
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+ predicted: miklir menn eru þeir þremenningar
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  ---
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+ reference: handverkoghonnun is
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+ predicted: handverkoghonnun is
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  ---
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  ```
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264
 
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  **Test Result**:
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+ - WER: 09.21%
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269
 
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  ## Training & Report
271
  The Common Voice `train`, `validation` datasets were used for training.
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+ You can see the training states [here](https://wandb.ai/m3hrdadfi/wav2vec2_large_xlsr_is/reports/Fine-Tuning-for-Wav2Vec2-Large-XLSR-Icelandic--Vmlldzo2Mjk3ODc?accessToken=j7neoz71mce1fkzt0bch4j0l50witnmme07xe90nvs769kjjtbwneu2wfz3oip16)
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+ The script used for training can be found [here](https://colab.research.google.com/github/m3hrdadfi/notebooks/blob/main/Fine_Tune_XLSR_Wav2Vec2_on_Icelandic_ASR_with_%F0%9F%A4%97_Transformers_ipynb.ipynb)
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  ## Questions?
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