End of training

README.md

@@ -1,18 +1,18 @@
 ---
 license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
 tags:
 - generated_from_trainer
 datasets:
 - xtreme_s
 metrics:
 - wer
-base_model: facebook/wav2vec2-large-xlsr-53
 model-index:
 - name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod6
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: xtreme_s
       type: xtreme_s
@@ -20,9 +20,9 @@ model-index:
       split: test
       args: fleurs.id_id
     metrics:
-    - type: wer
-      value: 0.5287382128423889
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 0.50321808112558
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the xtreme_s dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9531
-- Wer: 0.5287
+- Loss: 0.8186
+- Wer: 0.5032
 
 ## Model description
 
@@ -61,17 +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: 600
-- num_epochs: 90
+- num_epochs: 60
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 5.2079        | 18.18 | 300  | 2.8502          | 1.0    |
-| 1.5727        | 36.36 | 600  | 0.8489          | 0.6749 |
-| 0.1925        | 54.55 | 900  | 1.0067          | 0.5868 |
-| 0.0963        | 72.73 | 1200 | 0.9531          | 0.5287 |
+| 4.9714        | 18.18 | 300  | 2.8507          | 1.0    |
+| 1.2966        | 36.36 | 600  | 0.8132          | 0.6056 |
+| 0.1563        | 54.55 | 900  | 0.8186          | 0.5032 |
 
 
 ### Framework versions

model.safetensors

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 size 1262073980

runs/Feb03_06-02-42_5cd606815d5c/events.out.tfevents.1706940192.5cd606815d5c.893.0

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