End of training

README.md

@@ -3,12 +3,29 @@ 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
+metrics:
+- wer
 model-index:
 - name: wav2vec2-librispeech-clean-100h-demo-dist
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: LIBRISPEECH_ASR - CLEAN
+      type: librispeech_asr
+      config: clean
+      split: None
+      args: 'Config: clean, Training split: train.100, Eval split: validation'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.09198730662435542
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-librispeech-clean-100h-demo-dist
 
-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: 0.0554
+- Wer: 0.0920
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 3.0,
+    "eval_loss": 0.05542026832699776,
+    "eval_runtime": 105.5563,
+    "eval_samples": 2642,
+    "eval_samples_per_second": 25.029,
+    "eval_steps_per_second": 3.136,
+    "eval_wer": 0.09198730662435542,
+    "total_flos": 3.3190826326923264e+19,
+    "train_loss": 0.19606071691714266,
+    "train_runtime": 14592.9757,
+    "train_samples": 28538,
+    "train_samples_per_second": 5.867,
+    "train_steps_per_second": 1.467
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_loss": 0.05542026832699776,
+    "eval_runtime": 105.5563,
+    "eval_samples": 2642,
+    "eval_samples_per_second": 25.029,
+    "eval_steps_per_second": 3.136,
+    "eval_wer": 0.09198730662435542
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "total_flos": 3.3190826326923264e+19,
+    "train_loss": 0.19606071691714266,
+    "train_runtime": 14592.9757,
+    "train_samples": 28538,
+    "train_samples_per_second": 5.867,
+    "train_steps_per_second": 1.467
+}