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
 
-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: 0.4323
-- Wer: 0.3056
-- Cer: 0.0952
+- Loss: 0.2682
+- Wer: 0.2998
+- Cer: 0.0930
 
 ## Model description
 

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 58.44155844155844,
+    "eval_cer": 0.09300457794554655,
+    "eval_loss": 0.26820752024650574,
+    "eval_runtime": 9.3837,
+    "eval_samples": 101,
+    "eval_samples_per_second": 10.763,
+    "eval_steps_per_second": 0.426,
+    "eval_wer": 0.2998236331569665,
+    "total_flos": 1.2252419622219763e+20,
+    "train_loss": 0.5092113474743285,
+    "train_runtime": 19591.5272,
+    "train_samples": 9856,
+    "train_samples_per_second": 326.672,
+    "train_steps_per_second": 5.104
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 58.44155844155844,
+    "eval_cer": 0.09300457794554655,
+    "eval_loss": 0.26820752024650574,
+    "eval_runtime": 9.3837,
+    "eval_samples": 101,
+    "eval_samples_per_second": 10.763,
+    "eval_steps_per_second": 0.426,
+    "eval_wer": 0.2998236331569665
+}

runs/Apr11_22-58-49_synvoices-single-a100/events.out.tfevents.1744432043.synvoices-single-a100.22442.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7fda06091820af5550751f387bebd1cbc7c8348a5e5765b744645b40fe57a9e7
+size 453

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 58.44155844155844,
+    "total_flos": 1.2252419622219763e+20,
+    "train_loss": 0.5092113474743285,
+    "train_runtime": 19591.5272,
+    "train_samples": 9856,
+    "train_samples_per_second": 326.672,
+    "train_steps_per_second": 5.104
+}