End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: mit
 base_model: facebook/w2v-bert-2.0
 tags:
+- automatic-speech-recognition
+- CLEAR-Global/luo_19h
 - generated_from_trainer
 metrics:
 - wer
@@ -16,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # w2v-bert-2.0-luo_cv_fleurs_19h-v4
 
-This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
+This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the CLEAR-GLOBAL/LUO_19H - NA dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3849
-- Wer: 0.3355
-- Cer: 0.0949
+- Loss: 0.2866
+- Wer: 0.3289
+- Cer: 0.0998
 
 ## Model description
 

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 51.94805194805195,
+    "eval_cer": 0.09975102401413541,
+    "eval_loss": 0.28664374351501465,
+    "eval_runtime": 8.8243,
+    "eval_samples": 101,
+    "eval_samples_per_second": 11.446,
+    "eval_steps_per_second": 0.453,
+    "eval_wer": 0.3289241622574956,
+    "total_flos": 1.0889354067303062e+20,
+    "train_loss": 0.5019422525619448,
+    "train_runtime": 17428.3215,
+    "train_samples": 9856,
+    "train_samples_per_second": 367.218,
+    "train_steps_per_second": 5.738
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 51.94805194805195,
+    "eval_cer": 0.09975102401413541,
+    "eval_loss": 0.28664374351501465,
+    "eval_runtime": 8.8243,
+    "eval_samples": 101,
+    "eval_samples_per_second": 11.446,
+    "eval_steps_per_second": 0.453,
+    "eval_wer": 0.3289241622574956
+}

runs/Apr12_20-06-30_synvoices-single-a100/events.out.tfevents.1744506313.synvoices-single-a100.115251.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:637c2d6f99da465e06e11c21bb4a20f525321b9be3eb13d66d39b074f65b585d
+size 453

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 51.94805194805195,
+    "total_flos": 1.0889354067303062e+20,
+    "train_loss": 0.5019422525619448,
+    "train_runtime": 17428.3215,
+    "train_samples": 9856,
+    "train_samples_per_second": 367.218,
+    "train_steps_per_second": 5.738
+}