End of training

README.md

@@ -3,20 +3,33 @@ library_name: transformers
 license: apache-2.0
 base_model: openai/whisper-large-v3
 tags:
+- whisper-event
 - generated_from_trainer
+datasets:
+- asierhv/composite_corpus_eu_v2.1
 metrics:
 - wer
 model-index:
-- name: openai/whisper-large-v3
-  results: []
+- name: Whisper Large Basque
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: asierhv/composite_corpus_eu_v2.1
+      type: asierhv/composite_corpus_eu_v2.1
+    metrics:
+    - name: Wer
+      type: wer
+      value: 6.544273760459599
 ---
 
 <!-- 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-v3
+# Whisper Large Basque
 
-This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the asierhv/composite_corpus_eu_v2.1 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1549
 - Wer: 6.5443

all_results.json

@@ -1,14 +1,14 @@
 {
     "epoch": 1.0,
-    "eval_loss": 0.140655517578125,
+    "eval_loss": 0.15491345524787903,
     "eval_model_preparation_time": 0.0102,
-    "eval_runtime": 698.8029,
-    "eval_samples_per_second": 3.011,
-    "eval_steps_per_second": 0.376,
-    "eval_wer": 7.100121529400767,
+    "eval_runtime": 532.0406,
+    "eval_samples_per_second": 3.178,
+    "eval_steps_per_second": 0.398,
+    "eval_wer": 6.544273760459599,
     "total_flos": 1.0871994580992e+21,
-    "train_loss": 0.036449428302049634,
-    "train_runtime": 47722.2934,
-    "train_samples_per_second": 6.705,
-    "train_steps_per_second": 0.419
+    "train_loss": 0.0028733723163604737,
+    "train_runtime": 7510.0544,
+    "train_samples_per_second": 42.61,
+    "train_steps_per_second": 2.663
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 1.0,
-    "eval_loss": 0.140655517578125,
-    "eval_runtime": 698.8029,
-    "eval_samples_per_second": 3.011,
-    "eval_steps_per_second": 0.376,
-    "eval_wer": 7.100121529400767
+    "eval_loss": 0.15491345524787903,
+    "eval_runtime": 532.0406,
+    "eval_samples_per_second": 3.178,
+    "eval_steps_per_second": 0.398,
+    "eval_wer": 6.544273760459599
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 1.0,
     "total_flos": 1.0871994580992e+21,
-    "train_loss": 0.036449428302049634,
-    "train_runtime": 47722.2934,
-    "train_samples_per_second": 6.705,
-    "train_steps_per_second": 0.419
+    "train_loss": 0.0028733723163604737,
+    "train_runtime": 7510.0544,
+    "train_samples_per_second": 42.61,
+    "train_steps_per_second": 2.663
 }