End of training

README.md

@@ -1,39 +1,42 @@
 ---
+language:
+- ca
 license: apache-2.0
 base_model: openai/whisper-large-v2
 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-v2
+- name: Whisper Large-V2 Catalan
   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 ca
+      type: mozilla-foundation/common_voice_13_0
       config: ca
       split: test
       args: ca
     metrics:
     - name: Wer
       type: wer
-      value: 4.727636467562161
+      value: 4.671620462989425
 ---
 
 <!-- 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-v2
+# Whisper Large-V2 Catalan
 
-This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_13_0 dataset.
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_13_0 ca dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1187
-- Wer: 4.7276
+- Loss: 0.1494
+- Wer: 4.6716
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 39.0,
+    "eval_loss": 0.14943751692771912,
+    "eval_runtime": 5959.2922,
+    "eval_samples_per_second": 2.749,
+    "eval_steps_per_second": 0.172,
+    "eval_wer": 4.671620462989425,
+    "train_loss": 0.041109147554636,
+    "train_runtime": 463477.2931,
+    "train_samples_per_second": 2.762,
+    "train_steps_per_second": 0.043
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 39.0,
+    "eval_loss": 0.14943751692771912,
+    "eval_runtime": 5959.2922,
+    "eval_samples_per_second": 2.749,
+    "eval_steps_per_second": 0.172,
+    "eval_wer": 4.671620462989425
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 39.0,
+    "train_loss": 0.041109147554636,
+    "train_runtime": 463477.2931,
+    "train_samples_per_second": 2.762,
+    "train_steps_per_second": 0.043
+}