End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: apache-2.0
 base_model: facebook/wav2vec2-large-xlsr-53
 tags:
+- automatic-speech-recognition
+- google/fleurs
 - generated_from_trainer
 datasets:
 - fleurs
@@ -15,15 +17,15 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: fleurs
+      name: GOOGLE/FLEURS - EN_US
       type: fleurs
       config: en_us
       split: test
-      args: en_us
+      args: 'Config: en_us, Training split: train+validation, Eval split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 0.260403073800203
+      value: 0.25982311149775267
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-common_voice-en-finetune
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the fleurs dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the GOOGLE/FLEURS - EN_US dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3437
-- Wer: 0.2604
+- Loss: 0.3436
+- Wer: 0.2598
 
 ## Model description
 

all_results.json

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+{
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+}

eval_results.json

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+{
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+    "eval_wer": 0.25982311149775267
+}

runs/Sep07_10-42-27_nvidia-gpu-machine/events.out.tfevents.1725701758.nvidia-gpu-machine

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f6ff96cb232f0e3f90083dc12fe26127dc12155986d7de61cf9fec897ec111d
+size 40

train_results.json

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+}

trainer_state.json

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