End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: apache-2.0
 base_model: facebook/wav2vec2-large-lv60
 tags:
+- automatic-speech-recognition
+- librispeech_asr
 - generated_from_trainer
 datasets:
 - librispeech_asr
@@ -15,15 +17,15 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: librispeech_asr
+      name: LIBRISPEECH_ASR - CLEAN
       type: librispeech_asr
       config: clean
       split: test
-      args: clean
+      args: 'Config: clean, Training split: test, Eval split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 1.0237341772151898
+      value: 1.0225474683544304
 ---
 
 <!-- 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-librispeech-demo
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the librispeech_asr dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the LIBRISPEECH_ASR - CLEAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0031
-- Wer: 1.0237
+- Loss: 0.0030
+- Wer: 1.0225
 
 ## Model description
 

all_results.json

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eval_results.json

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runs/Feb14_22-20-51_server1/events.out.tfevents.1739567371.server1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ac868ed3bcde6abfeb28a7bb2749551fe6893593282cb0357d64242d28add20
+size 40

train_results.json

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+}

trainer_state.json

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