End of training

README.md

@@ -1,21 +1,24 @@
 ---
+language:
+- eu
 license: apache-2.0
 base_model: openai/whisper-large
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_13_0
+- mozilla-foundation/common_voice_13_0
 metrics:
 - wer
 model-index:
-- name: openai/whisper-large
+- name: Whisper Large 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
@@ -28,9 +31,9 @@ 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-large
+# Whisper Large Basque
 
-This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the common_voice_13_0 dataset.
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the mozilla-foundation/common_voice_13_0 eu dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.4369
 - Wer: 12.2342

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 97.0,
+    "eval_loss": 0.4369344115257263,
+    "eval_runtime": 2347.3427,
+    "eval_samples_per_second": 2.808,
+    "eval_steps_per_second": 0.176,
+    "eval_wer": 12.234193365466401,
+    "train_loss": 0.011489377881600376,
+    "train_runtime": 415456.4714,
+    "train_samples_per_second": 3.081,
+    "train_steps_per_second": 0.048
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 97.0,
+    "eval_loss": 0.4369344115257263,
+    "eval_runtime": 2347.3427,
+    "eval_samples_per_second": 2.808,
+    "eval_steps_per_second": 0.176,
+    "eval_wer": 12.234193365466401
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 97.0,
+    "train_loss": 0.011489377881600376,
+    "train_runtime": 415456.4714,
+    "train_samples_per_second": 3.081,
+    "train_steps_per_second": 0.048
+}