End of training

README.md

@@ -1,22 +1,25 @@
 ---
 library_name: transformers
+language:
+- eu
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_17_0
+- mozilla-foundation/common_voice_17_0
 metrics:
 - wer
 model-index:
-- name: openai/whisper-small
+- name: Whisper Small Basque
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_17_0
-      type: common_voice_17_0
+      name: mozilla-foundation/common_voice_17_0 eu
+      type: mozilla-foundation/common_voice_17_0
       config: eu
       split: test
       args: eu
@@ -29,9 +32,9 @@ model-index:
 <!-- 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. -->
 
-# openai/whisper-small
+# Whisper Small Basque
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_17_0 eu dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3438
 - Wer: 9.3325

all_results.json

@@ -1,13 +1,13 @@
 {
-    "epoch": 49.29577464788732,
-    "eval_loss": 0.30044615268707275,
-    "eval_runtime": 297.1485,
-    "eval_samples_per_second": 45.869,
-    "eval_steps_per_second": 1.434,
-    "eval_wer": 10.42819451060867,
-    "total_flos": 3.878022152916173e+20,
-    "train_loss": 0.02058725649136163,
-    "train_runtime": 19337.6844,
-    "train_samples_per_second": 132.384,
-    "train_steps_per_second": 2.068
+    "epoch": 93.89671361502347,
+    "eval_loss": 0.34379932284355164,
+    "eval_runtime": 301.7042,
+    "eval_samples_per_second": 45.177,
+    "eval_steps_per_second": 1.412,
+    "eval_wer": 9.332514932756789,
+    "total_flos": 7.38671271050281e+20,
+    "train_loss": 0.010928135018403373,
+    "train_runtime": 36696.4049,
+    "train_samples_per_second": 69.762,
+    "train_steps_per_second": 1.09
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 49.29577464788732,
-    "eval_loss": 0.30044615268707275,
-    "eval_runtime": 297.1485,
-    "eval_samples_per_second": 45.869,
-    "eval_steps_per_second": 1.434,
-    "eval_wer": 10.42819451060867
+    "epoch": 93.89671361502347,
+    "eval_loss": 0.34379932284355164,
+    "eval_runtime": 301.7042,
+    "eval_samples_per_second": 45.177,
+    "eval_steps_per_second": 1.412,
+    "eval_wer": 9.332514932756789
 }

runs/May26_22-16-53_nej80nv-01113.itbatera.euskadi.eus/events.out.tfevents.1748327678.nej80nv-01113.itbatera.euskadi.eus

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3355b0360bd4d08f6d6c99caa631955c61c2a83913107e0f1e059cad3a3af254
+size 40

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 49.29577464788732,
-    "total_flos": 3.878022152916173e+20,
-    "train_loss": 0.02058725649136163,
-    "train_runtime": 19337.6844,
-    "train_samples_per_second": 132.384,
-    "train_steps_per_second": 2.068
+    "epoch": 93.89671361502347,
+    "total_flos": 7.38671271050281e+20,
+    "train_loss": 0.010928135018403373,
+    "train_runtime": 36696.4049,
+    "train_samples_per_second": 69.762,
+    "train_steps_per_second": 1.09
 }