End of training

README.md

@@ -3,20 +3,33 @@ library_name: transformers
 license: apache-2.0
 base_model: openai/whisper-base
 tags:
+- whisper-event
 - generated_from_trainer
+datasets:
+- asierhv/composite_corpus_eu_v2.1
 metrics:
 - wer
 model-index:
-- name: openai/whisper-base
-  results: []
+- name: Whisper Base 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: 12.307980517047582
 ---
 
 <!-- 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-base
+# Whisper Base Basque
 
-This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the asierhv/composite_corpus_eu_v2.1 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3183
 - Wer: 12.3080

all_results.json

@@ -1,13 +1,13 @@
 {
     "epoch": 1.0,
-    "eval_loss": 0.24521400034427643,
-    "eval_runtime": 74.5154,
-    "eval_samples_per_second": 28.236,
-    "eval_steps_per_second": 1.771,
-    "eval_wer": 13.816958025614658,
-    "total_flos": 1.660415901696e+19,
-    "train_loss": 0.22206098145246506,
-    "train_runtime": 4270.5513,
-    "train_samples_per_second": 59.945,
-    "train_steps_per_second": 1.873
+    "eval_loss": 0.3182850182056427,
+    "eval_runtime": 50.0171,
+    "eval_samples_per_second": 33.808,
+    "eval_steps_per_second": 2.119,
+    "eval_wer": 12.307980517047582,
+    "total_flos": 2.07551987712e+19,
+    "train_loss": 0.1926619317293167,
+    "train_runtime": 5040.4481,
+    "train_samples_per_second": 63.486,
+    "train_steps_per_second": 1.984
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 1.0,
-    "eval_loss": 0.24521400034427643,
-    "eval_runtime": 74.5154,
-    "eval_samples_per_second": 28.236,
-    "eval_steps_per_second": 1.771,
-    "eval_wer": 13.816958025614658
+    "eval_loss": 0.3182850182056427,
+    "eval_runtime": 50.0171,
+    "eval_samples_per_second": 33.808,
+    "eval_steps_per_second": 2.119,
+    "eval_wer": 12.307980517047582
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 1.0,
-    "total_flos": 1.660415901696e+19,
-    "train_loss": 0.22206098145246506,
-    "train_runtime": 4270.5513,
-    "train_samples_per_second": 59.945,
-    "train_steps_per_second": 1.873
+    "total_flos": 2.07551987712e+19,
+    "train_loss": 0.1926619317293167,
+    "train_runtime": 5040.4481,
+    "train_samples_per_second": 63.486,
+    "train_steps_per_second": 1.984
 }