Neprox
/

STT-Swedish-Whisper

Automatic Speech Recognition

hf-asr-leaderboard

generated_from_trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

Neprox commited on Dec 8, 2022

Commit

733dcd0

•

1 Parent(s): bedbbc1

update model card README.md

Files changed (1) hide show

README.md +6 -3

README.md CHANGED Viewed

@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3900
-- Wer: 19.0369
 ## Model description
@@ -48,7 +48,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 12000
 - mixed_precision_training: Native AMP
 ### Training results
@@ -61,6 +61,9 @@ The following hyperparameters were used during training:
 | 0.0012        | 6.83  | 8000  | 0.3713          | 19.1229 |
 | 0.0005        | 8.53  | 10000 | 0.3844          | 19.2036 |
 | 0.0004        | 10.24 | 12000 | 0.3900          | 19.0369 |
 ### Framework versions

 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.4312
+- Wer: 19.0503
 ## Model description
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
+- training_steps: 18000
 - mixed_precision_training: Native AMP
 ### Training results
 | 0.0012        | 6.83  | 8000  | 0.3713          | 19.1229 |
 | 0.0005        | 8.53  | 10000 | 0.3844          | 19.2036 |
 | 0.0004        | 10.24 | 12000 | 0.3900          | 19.0369 |
+| 0.0008        | 11.94 | 14000 | 0.4161          | 19.9511 |
+| 0.0002        | 13.65 | 16000 | 0.4201          | 19.1283 |
+| 0.0001        | 15.36 | 18000 | 0.4312          | 19.0503 |
 ### Framework versions