End of training

README.md

@@ -1,12 +1,31 @@
 ---
+language:
+- af
 base_model: ylacombe/w2v-bert-2.0
 tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_16_0
 - generated_from_trainer
 datasets:
 - common_voice_16_0
+metrics:
+- wer
 model-index:
 - name: wav2vec2-common_voice-af-demo
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - AF
+      type: common_voice_16_0
+      config: af
+      split: test
+      args: 'Config: af, Training split: train+validation, Eval split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,7 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-common_voice-af-demo
 
-This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the common_voice_16_0 dataset.
+This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - AF dataset.
+It achieves the following results on the evaluation set:
+- Loss: inf
+- Wer: 1.0
 
 ## Model description
 

all_results.json

@@ -1,14 +1,14 @@
 {
     "epoch": 15.0,
     "eval_loss": Infinity,
-    "eval_runtime": 1.2872,
+    "eval_runtime": 1.2428,
     "eval_samples": 28,
-    "eval_samples_per_second": 21.753,
-    "eval_steps_per_second": 3.108,
+    "eval_samples_per_second": 22.53,
+    "eval_steps_per_second": 3.219,
     "eval_wer": 1.0,
     "train_loss": 0.0,
-    "train_runtime": 86.8732,
+    "train_runtime": 83.0972,
     "train_samples": 58,
-    "train_samples_per_second": 10.015,
-    "train_steps_per_second": 0.345
+    "train_samples_per_second": 10.47,
+    "train_steps_per_second": 0.361
 }

eval_results.json

@@ -1,9 +1,9 @@
 {
     "epoch": 15.0,
     "eval_loss": Infinity,
-    "eval_runtime": 1.2872,
+    "eval_runtime": 1.2428,
     "eval_samples": 28,
-    "eval_samples_per_second": 21.753,
-    "eval_steps_per_second": 3.108,
+    "eval_samples_per_second": 22.53,
+    "eval_steps_per_second": 3.219,
     "eval_wer": 1.0
 }

runs/Jan01_18-34-16_vorace/events.out.tfevents.1704134182.vorace.75244.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2ef51ab36cf9dd349ef3de5592691cd80bb20b7915b7d46040d4f81e7b98cc4
+size 352

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 15.0,
     "train_loss": 0.0,
-    "train_runtime": 86.8732,
+    "train_runtime": 83.0972,
     "train_samples": 58,
-    "train_samples_per_second": 10.015,
-    "train_steps_per_second": 0.345
+    "train_samples_per_second": 10.47,
+    "train_steps_per_second": 0.361
 }

trainer_state.json

@@ -13,9 +13,9 @@
       "step": 30,
       "total_flos": 2.076343463106048e+17,
       "train_loss": 0.0,
-      "train_runtime": 86.8732,
-      "train_samples_per_second": 10.015,
-      "train_steps_per_second": 0.345
+      "train_runtime": 83.0972,
+      "train_samples_per_second": 10.47,
+      "train_steps_per_second": 0.361
     }
   ],
   "logging_steps": 500,