End of training

README.md

@@ -1,40 +1,43 @@
 ---
 library_name: transformers
+language:
+- eu
 license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_17_0
+- mozilla-foundation/common_voice_17_0
 metrics:
 - wer
 model-index:
-- name: openai/whisper-tiny
+- name: Whisper Tiny 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
     metrics:
     - name: Wer
       type: wer
-      value: 20.868298581846165
+      value: 20.124409102568798
 ---
 
 <!-- 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-tiny
+# Whisper Tiny Basque
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_17_0 dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_17_0 eu dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6486
-- Wer: 20.8683
+- Loss: 0.4350
+- Wer: 20.1244
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
-    "epoch": 112.14953271028037,
-    "eval_loss": 0.4785337448120117,
-    "eval_runtime": 61.5842,
-    "eval_samples_per_second": 221.323,
-    "eval_steps_per_second": 1.737,
-    "eval_wer": 20.06852577961816,
-    "total_flos": 7.526524949102592e+19,
-    "train_loss": 0.035106123740074206,
-    "train_runtime": 9242.4407,
-    "train_samples_per_second": 1107.932,
-    "train_steps_per_second": 4.328
+    "epoch": 140.18691588785046,
+    "eval_loss": 0.4349908232688904,
+    "eval_runtime": 62.8423,
+    "eval_samples_per_second": 216.892,
+    "eval_steps_per_second": 1.703,
+    "eval_wer": 20.124409102568798,
+    "total_flos": 9.40815618637824e+19,
+    "train_loss": 0.028148239994506972,
+    "train_runtime": 11548.0276,
+    "train_samples_per_second": 886.732,
+    "train_steps_per_second": 3.464
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 112.14953271028037,
-    "eval_loss": 0.4785337448120117,
-    "eval_runtime": 61.5842,
-    "eval_samples_per_second": 221.323,
-    "eval_steps_per_second": 1.737,
-    "eval_wer": 20.06852577961816
+    "epoch": 140.18691588785046,
+    "eval_loss": 0.4349908232688904,
+    "eval_runtime": 62.8423,
+    "eval_samples_per_second": 216.892,
+    "eval_steps_per_second": 1.703,
+    "eval_wer": 20.124409102568798
 }

runs/May26_22-16-53_nej80nv-01113.itbatera.euskadi.eus/events.out.tfevents.1748302258.nej80nv-01113.itbatera.euskadi.eus

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:73de439293f4f4e6a5356511b5a7aaa547ce45f55a8681d651f5b4e1d1d0070a
+size 40

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 112.14953271028037,
-    "total_flos": 7.526524949102592e+19,
-    "train_loss": 0.035106123740074206,
-    "train_runtime": 9242.4407,
-    "train_samples_per_second": 1107.932,
-    "train_steps_per_second": 4.328
+    "epoch": 140.18691588785046,
+    "total_flos": 9.40815618637824e+19,
+    "train_loss": 0.028148239994506972,
+    "train_runtime": 11548.0276,
+    "train_samples_per_second": 886.732,
+    "train_steps_per_second": 3.464
 }