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_local
+- common_voice_21_0_eu
 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_local
-      type: common_voice_local
+      name: common_voice_21_0_eu
+      type: common_voice_21_0_eu
       config: default
       split: test
       args: default
     metrics:
     - name: Wer
       type: wer
-      value: 20.84135324004231
+      value: 19.39343494771888
 ---
 
 <!-- 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_local dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_21_0_eu dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8208
-- Wer: 20.8414
+- Loss: 0.6323
+- Wer: 19.3934
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 530.9734513274336,
+    "eval_loss": 0.6322592496871948,
+    "eval_runtime": 64.9408,
+    "eval_samples_per_second": 221.479,
+    "eval_steps_per_second": 1.74,
+    "eval_wer": 19.39343494771888,
+    "total_flos": 3.760322979667968e+20,
+    "train_loss": 0.007700834417891049,
+    "train_runtime": 44653.923,
+    "train_samples_per_second": 573.298,
+    "train_steps_per_second": 2.239
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 530.9734513274336,
+    "eval_loss": 0.6322592496871948,
+    "eval_runtime": 64.9408,
+    "eval_samples_per_second": 221.479,
+    "eval_steps_per_second": 1.74,
+    "eval_wer": 19.39343494771888
+}

runs/Jun05_23-00-00_nej80nv-01113.itbatera.euskadi.eus/events.out.tfevents.1749201955.nej80nv-01113.itbatera.euskadi.eus

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06b8f1989c8ca9da1b9b03ca0db2f6fbe496af9ba18cf93e5ce6662d8182edde
+size 40

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 530.9734513274336,
+    "total_flos": 3.760322979667968e+20,
+    "train_loss": 0.007700834417891049,
+    "train_runtime": 44653.923,
+    "train_samples_per_second": 573.298,
+    "train_steps_per_second": 2.239
+}