ROGRANMAR
/

que_funcione_que_funcione4

Automatic Speech Recognition

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

ROGRANMAR commited on Apr 18, 2023

Commit

c8136f1

·

1 Parent(s): 0b788ce

update model card README.md

Files changed (1) hide show

README.md +3 -3

README.md CHANGED Viewed

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.4014
 ## Model description
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 28.0557       | 5.0   | 50   | 12.1336         |
-| 4.2632        | 10.0  | 100  | 3.4014          |
 ### Framework versions

 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 8.2275
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| 28.3484       | 5.0   | 50   | 26.1414         |
+| 8.0759        | 10.0  | 100  | 8.2275          |
 ### Framework versions