crossdelenna
/

wav2vec2-base-en-in-lm

Automatic Speech Recognition

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crossdelenna commited on Jul 26, 2022

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update model card README.md

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@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [beinghorizontal/wav2vec2-base-en-in](https://huggingface.co/beinghorizontal/wav2vec2-base-en-in) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.1784
 - Wer: 1.0
 ## Model description
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Wer |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
-| 3.3058        | 83.33 | 500  | 3.1784          | 1.0 |
 ### Framework versions

 This model is a fine-tuned version of [beinghorizontal/wav2vec2-base-en-in](https://huggingface.co/beinghorizontal/wav2vec2-base-en-in) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 3.0776
 - Wer: 1.0
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Wer |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
+| 3.1317        | 83.33 | 500  | 3.0776          | 1.0 |
 ### Framework versions