End of training

README.md

@@ -1,15 +1,20 @@
 ---
 library_name: transformers
+language:
+- jv
 license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
+- whisper
+- javanese
+- asr
 - generated_from_trainer
 datasets:
 - jv_id_asr_split
 metrics:
 - wer
 model-index:
-- name: whisper-tiny-javanese-openslr-v4
+- name: Whisper-Tiny-Java-v4
   results:
   - task:
       name: Automatic Speech Recognition
@@ -23,18 +28,18 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.15829025876023428
+      value: 0.15599121044112013
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# whisper-tiny-javanese-openslr-v4
+# Whisper-Tiny-Java-v4
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the jv_id_asr_split dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1869
-- Wer: 0.1583
+- Loss: 0.1877
+- Wer: 0.1560
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 5.403631058518398,
+    "eval_loss": 0.18768277764320374,
+    "eval_runtime": 3435.9454,
+    "eval_samples": 18504,
+    "eval_samples_per_second": 5.385,
+    "eval_steps_per_second": 1.346,
+    "eval_wer": 0.15599121044112013,
+    "total_flos": 1.969520657154048e+19,
+    "train_loss": 0.0007634645557403565,
+    "train_runtime": 4719.3215,
+    "train_samples": 148052,
+    "train_samples_per_second": 169.516,
+    "train_steps_per_second": 10.595
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 5.403631058518398,
+    "eval_loss": 0.18768277764320374,
+    "eval_runtime": 3435.9454,
+    "eval_samples": 18504,
+    "eval_samples_per_second": 5.385,
+    "eval_steps_per_second": 1.346,
+    "eval_wer": 0.15599121044112013
+}

runs/Mar24_12-04-16_dgx-a100/events.out.tfevents.1742800849.dgx-a100.3466262.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:893229a9d03f13a576db039c3cc213953d4c05c1e89dd5461ff1325296d41f5d
+size 412

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 5.403631058518398,
+    "total_flos": 1.969520657154048e+19,
+    "train_loss": 0.0007634645557403565,
+    "train_runtime": 4719.3215,
+    "train_samples": 148052,
+    "train_samples_per_second": 169.516,
+    "train_steps_per_second": 10.595
+}