End of training

README.md

@@ -3,20 +3,33 @@ library_name: transformers
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
+- whisper-event
 - generated_from_trainer
+datasets:
+- asierhv/composite_corpus_eu_v2.1
 metrics:
 - wer
 model-index:
-- name: openai/whisper-small
-  results: []
+- name: Whisper Small 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: 9.547895591357562
 ---
 
 <!-- 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-small
+# Whisper Small Basque
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the asierhv/composite_corpus_eu_v2.1 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2353
 - Wer: 9.5479

all_results.json

@@ -1,13 +1,13 @@
 {
     "epoch": 1.0,
-    "eval_loss": 0.1835634410381317,
-    "eval_runtime": 151.3822,
-    "eval_samples_per_second": 13.899,
-    "eval_steps_per_second": 0.872,
-    "eval_wer": 10.886229784051602,
-    "total_flos": 7.387786248192e+19,
-    "train_loss": 0.17036041705310345,
-    "train_runtime": 11036.9074,
-    "train_samples_per_second": 23.195,
-    "train_steps_per_second": 0.725
+    "eval_loss": 0.23531682789325714,
+    "eval_runtime": 107.5864,
+    "eval_samples_per_second": 15.718,
+    "eval_steps_per_second": 0.985,
+    "eval_wer": 9.547895591357562,
+    "total_flos": 9.23473281024e+19,
+    "train_loss": 0.14711211260557175,
+    "train_runtime": 12741.5974,
+    "train_samples_per_second": 25.115,
+    "train_steps_per_second": 0.785
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 1.0,
-    "eval_loss": 0.1835634410381317,
-    "eval_runtime": 151.3822,
-    "eval_samples_per_second": 13.899,
-    "eval_steps_per_second": 0.872,
-    "eval_wer": 10.886229784051602
+    "eval_loss": 0.23531682789325714,
+    "eval_runtime": 107.5864,
+    "eval_samples_per_second": 15.718,
+    "eval_steps_per_second": 0.985,
+    "eval_wer": 9.547895591357562
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 1.0,
-    "total_flos": 7.387786248192e+19,
-    "train_loss": 0.17036041705310345,
-    "train_runtime": 11036.9074,
-    "train_samples_per_second": 23.195,
-    "train_steps_per_second": 0.725
+    "total_flos": 9.23473281024e+19,
+    "train_loss": 0.14711211260557175,
+    "train_runtime": 12741.5974,
+    "train_samples_per_second": 25.115,
+    "train_steps_per_second": 0.785
 }