End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.940809968847352
+      value: 0.7320872274143302
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,12 +32,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nutella-toast/wav2vec2-large-xls-r-ssw](https://huggingface.co/nutella-toast/wav2vec2-large-xls-r-ssw) on the ml-superb-subset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0000
-- Wer: 0.9408
+- Loss: 0.7327
+- Wer: 0.7321
 
 ## Model description
 
-Finetuned version of vanilla Wav2Vec2 for CS224S.
+More information needed
 
 ## Intended uses & limitations
 
@@ -61,17 +61,22 @@ 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: 5
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer    |
 |:-------------:|:------:|:----:|:---------------:|:------:|
-| 1.3831        | 1.0471 | 100  | 1.3053          | 1.0    |
-| 1.2606        | 2.0942 | 200  | 1.1802          | 0.9720 |
-| 1.0789        | 3.1414 | 300  | 1.0889          | 1.0405 |
-| 0.9249        | 4.1885 | 400  | 1.0000          | 0.9408 |
+| 0.5779        | 1.0471 | 100  | 0.7902          | 0.8785 |
+| 0.5307        | 2.0942 | 200  | 0.8185          | 0.8660 |
+| 0.4826        | 3.1414 | 300  | 0.8378          | 0.8692 |
+| 0.4529        | 4.1885 | 400  | 0.8048          | 0.9097 |
+| 0.5053        | 5.2356 | 500  | 0.9541          | 0.8910 |
+| 0.4149        | 6.2827 | 600  | 0.7687          | 0.7913 |
+| 0.3179        | 7.3298 | 700  | 0.7678          | 0.7850 |
+| 0.2642        | 8.3770 | 800  | 0.7151          | 0.7321 |
+| 0.2147        | 9.4241 | 900  | 0.7327          | 0.7321 |
 
 
 ### Framework versions

model.safetensors

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 size 1261938680

runs/May21_05-49-57_ca1ac2ddf6a5/events.out.tfevents.1716270668.ca1ac2ddf6a5.619.0

@@ -1,3 +1,3 @@
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