End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - audiofolder
+metrics:
+- wer
 model-index:
 - name: wav2vec2-base-self-331-colab
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.98989898989899
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-base-self-331-colab
 
 This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5154
+- Wer: 0.9899
 
 ## Model description
 
@@ -43,11 +61,16 @@ 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
-- num_epochs: 30
+- num_epochs: 100
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 4.3029        | 30.77 | 200  | 3.5530          | 1.0    |
+| 3.3121        | 61.54 | 400  | 3.0604          | 1.0    |
+| 2.7461        | 92.31 | 600  | 2.5154          | 0.9899 |
 
 
 ### Framework versions

runs/Mar31_06-55-38_ae4be65433ef/events.out.tfevents.1711868160.ae4be65433ef.291.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 7655
+oid sha256:b6373e24f03ef730c5f9c3a78440ddcb742ab0516d38ba5a8e97706e4da2b369
+size 8009