End of training

README.md

@@ -1,6 +1,10 @@
 ---
+language:
+- tr
 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
@@ -13,11 +17,11 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_16_0
+      name: MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - TR
       type: common_voice_16_0
       config: tr
       split: test
-      args: tr
+      args: 'Config: tr, Training split: train+validation, Eval split: test'
     metrics:
     - name: Wer
       type: wer
@@ -29,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-common_voice-tr-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 - TR dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.0815
+- Loss: 3.0582
 - Wer: 1.0
 
 ## Model description

all_results.json

@@ -1,5 +1,11 @@
 {
     "epoch": 15.0,
+    "eval_loss": 3.0581979751586914,
+    "eval_runtime": 309.3284,
+    "eval_samples": 11035,
+    "eval_samples_per_second": 35.674,
+    "eval_steps_per_second": 1.115,
+    "eval_wer": 1.0,
     "train_loss": 3.3253096312547563,
     "train_runtime": 44962.3834,
     "train_samples": 43798,

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 15.0,
+    "eval_loss": 3.0581979751586914,
+    "eval_runtime": 309.3284,
+    "eval_samples": 11035,
+    "eval_samples_per_second": 35.674,
+    "eval_steps_per_second": 1.115,
+    "eval_wer": 1.0
+}

model.safetensors

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 size 2322279712

runs/Jan04_19-22-33_vorace/events.out.tfevents.1704443950.vorace.1378810.1

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training_args.bin

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