Model save

README.md

@@ -1,6 +1,5 @@
 ---
-license: apache-2.0
-base_model: facebook/wav2vec2-base
+base_model: microsoft/wavlm-base-plus
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wavelm-study
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
+This model is a fine-tuned version of [microsoft/wavlm-base-plus](https://huggingface.co/microsoft/wavlm-base-plus) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6479
-- Accuracy: 0.7741
+- Loss: 0.9409
+- Accuracy: 0.6703
 
 ## Model description
 
@@ -52,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.0556        | 0.96  | 18   | 0.8796          | 0.6708   |
-| 0.8181        | 1.97  | 37   | 0.7411          | 0.7094   |
-| 0.7631        | 2.88  | 54   | 0.6479          | 0.7741   |
+| 1.0868        | 0.96  | 18   | 1.0394          | 0.4626   |
+| 1.0008        | 1.97  | 37   | 0.9409          | 0.6703   |
+| 0.9182        | 2.88  | 54   | 0.9072          | 0.6645   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:6a4111b19f0b99b52fb3cbdb7c4491cb09f97918bf7a7c7cd8283b031eb582ed
 size 378348236

runs/Jan22_06-50-06_bacaabb2c7b4/events.out.tfevents.1705906527.bacaabb2c7b4.317.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ad234835d57afded47defc12eccc18d7e2b50bf23eb1d21b5f3669c8da7b70e
+size 405