End of training

README.md

@@ -1,39 +1,42 @@
 ---
+language:
+- eu
 license: apache-2.0
 base_model: zuazo/whisper-large-v2-es
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_13_0
+- mozilla-foundation/common_voice_13_0
 metrics:
 - wer
 model-index:
-- name: zuazo/whisper-large-v2-es
+- name: Whisper Large-V2 Basque
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_13_0
-      type: common_voice_13_0
+      name: mozilla-foundation/common_voice_13_0 eu
+      type: mozilla-foundation/common_voice_13_0
       config: eu
       split: test
       args: eu
     metrics:
     - name: Wer
       type: wer
-      value: 11.865608165579813
+      value: 11.839280651302198
 ---
 
 <!-- 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. -->
 
-# zuazo/whisper-large-v2-es
+# Whisper Large-V2 Basque
 
-This model is a fine-tuned version of [zuazo/whisper-large-v2-es](https://huggingface.co/zuazo/whisper-large-v2-es) on the common_voice_13_0 dataset.
+This model is a fine-tuned version of [zuazo/whisper-large-v2-es](https://huggingface.co/zuazo/whisper-large-v2-es) on the mozilla-foundation/common_voice_13_0 eu dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4400
-- Wer: 11.8656
+- Loss: 0.4245
+- Wer: 11.8393
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 97.0,
+    "eval_loss": 0.42448174953460693,
+    "eval_runtime": 2262.948,
+    "eval_samples_per_second": 2.913,
+    "eval_steps_per_second": 0.182,
+    "eval_wer": 11.839280651302198,
+    "train_loss": 0.014449456868572451,
+    "train_runtime": 382801.2433,
+    "train_samples_per_second": 3.344,
+    "train_steps_per_second": 0.052
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 97.0,
+    "eval_loss": 0.42448174953460693,
+    "eval_runtime": 2262.948,
+    "eval_samples_per_second": 2.913,
+    "eval_steps_per_second": 0.182,
+    "eval_wer": 11.839280651302198
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 97.0,
+    "train_loss": 0.014449456868572451,
+    "train_runtime": 382801.2433,
+    "train_samples_per_second": 3.344,
+    "train_steps_per_second": 0.052
+}