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-base
 model-index:
 - name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod2
   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
+    - name: Wer
+      type: wer
       value: 1.0
-      name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,9 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod2
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the xtreme_s dataset.
+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: 2.8837
+- Loss: 2.8652
 - Wer: 1.0
 
 ## Model description
@@ -68,30 +68,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
-| 3.962         | 3.08  | 100  | 2.8983          | 1.0 |
-| 2.9085        | 6.15  | 200  | 2.8864          | 1.0 |
-| 2.9094        | 9.23  | 300  | 2.9040          | 1.0 |
-| 2.8976        | 12.31 | 400  | 2.9628          | 1.0 |
-| 2.901         | 15.38 | 500  | 2.8694          | 1.0 |
-| 2.8913        | 18.46 | 600  | 2.8954          | 1.0 |
-| 2.8918        | 21.54 | 700  | 2.8726          | 1.0 |
-| 2.892         | 24.62 | 800  | 2.8865          | 1.0 |
-| 2.8856        | 27.69 | 900  | 2.9127          | 1.0 |
-| 2.8893        | 30.77 | 1000 | 2.8989          | 1.0 |
-| 2.8862        | 33.85 | 1100 | 2.8831          | 1.0 |
-| 2.8853        | 36.92 | 1200 | 2.8960          | 1.0 |
-| 2.8856        | 40.0  | 1300 | 2.8911          | 1.0 |
-| 2.8849        | 43.08 | 1400 | 2.8926          | 1.0 |
-| 2.8829        | 46.15 | 1500 | 2.8837          | 1.0 |
-| 2.8812        | 49.23 | 1600 | 2.8859          | 1.0 |
-| 2.8825        | 52.31 | 1700 | 2.8858          | 1.0 |
-| 2.8833        | 55.38 | 1800 | 2.8856          | 1.0 |
-| 2.88          | 58.46 | 1900 | 2.8837          | 1.0 |
+| 5.2884        | 14.29 | 100  | 2.8917          | 1.0 |
+| 2.9104        | 28.57 | 200  | 2.8763          | 1.0 |
+| 2.9035        | 42.86 | 300  | 2.8750          | 1.0 |
+| 2.877         | 57.14 | 400  | 2.8652          | 1.0 |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
+- Transformers 4.37.1
 - Pytorch 2.1.2+cu121
-- Datasets 1.18.3
+- Datasets 2.16.1
 - Tokenizers 0.15.1

model.safetensors

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 size 1262073980

runs/Jan28_14-01-59_8a9b44249c59/events.out.tfevents.1706450525.8a9b44249c59.1494.0

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