End of training

README.md

@@ -3,11 +3,25 @@ license: apache-2.0
 base_model: openai/whisper-medium
 tags:
 - generated_from_trainer
+datasets:
+- fsicoli/cv17-fleurs-coraa-mls-ted-alcaim-cf-cdc-lapsbm-lapsmail-sydney-lingualibre-voxforge-tatoeba
 metrics:
 - wer
 model-index:
 - name: whisper-medium-pt-3000h
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: fsicoli/cv17-fleurs-coraa-mls-ted-alcaim-cf-cdc-lapsbm-lapsmail-sydney-lingualibre-voxforge-tatoeba
+        default
+      type: fsicoli/cv17-fleurs-coraa-mls-ted-alcaim-cf-cdc-lapsbm-lapsmail-sydney-lingualibre-voxforge-tatoeba
+      args: default
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.11007210455159983
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-medium-pt-3000h
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the fsicoli/cv17-fleurs-coraa-mls-ted-alcaim-cf-cdc-lapsbm-lapsmail-sydney-lingualibre-voxforge-tatoeba default dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9313
-- Wer: 0.1103
+- Loss: 0.9306
+- Wer: 0.1101
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 10.0,
+    "eval_loss": 0.9306021928787231,
+    "eval_runtime": 6063.5991,
+    "eval_samples": 9467,
+    "eval_samples_per_second": 1.561,
+    "eval_steps_per_second": 0.195,
+    "eval_wer": 0.11007210455159983,
+    "train_loss": 0.1179144298298952,
+    "train_runtime": 4583335.8647,
+    "train_samples": 813653,
+    "train_samples_per_second": 1.775,
+    "train_steps_per_second": 0.222
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 10.0,
+    "eval_loss": 0.9306021928787231,
+    "eval_runtime": 6063.5991,
+    "eval_samples": 9467,
+    "eval_samples_per_second": 1.561,
+    "eval_steps_per_second": 0.195,
+    "eval_wer": 0.11007210455159983
+}

runs/May19_18-02-06_DITEC2014063010/events.out.tfevents.1720769213.DITEC2014063010.1572992.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13064e52a0c4ed40171e471b9c2d2dde34b5e46b69a733e14ea680f2306f120e
+size 412

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "train_loss": 0.1179144298298952,
+    "train_runtime": 4583335.8647,
+    "train_samples": 813653,
+    "train_samples_per_second": 1.775,
+    "train_steps_per_second": 0.222
+}