End of training

README.md

@@ -2,12 +2,25 @@
 license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
+- whisper-event
 - generated_from_trainer
+datasets:
+- nadsoft/QASR-Speech-Resource
 metrics:
 - wer
 model-index:
 - name: hamsa-tiny-finetuned-qasr
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: nadsoft/QASR-Speech-Resource default
+      type: nadsoft/QASR-Speech-Resource
+    metrics:
+    - name: Wer
+      type: wer
+      value: 25.45148200004746
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +28,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # hamsa-tiny-finetuned-qasr
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the nadsoft/QASR-Speech-Resource default dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3310
 - Wer: 25.4515

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 6.01,
+    "eval_loss": 0.3309793174266815,
+    "eval_runtime": 259.1043,
+    "eval_samples_per_second": 19.317,
+    "eval_steps_per_second": 2.416,
+    "eval_wer": 25.45148200004746,
+    "train_loss": 0.3415145711453756,
+    "train_runtime": 260660.25,
+    "train_samples_per_second": 36.83,
+    "train_steps_per_second": 0.575
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 6.01,
+    "eval_loss": 0.3309793174266815,
+    "eval_runtime": 259.1043,
+    "eval_samples_per_second": 19.317,
+    "eval_steps_per_second": 2.416,
+    "eval_wer": 25.45148200004746
+}

runs/Feb12_19-50-30_ip-10-0-3-5.eu-west-1.compute.internal/events.out.tfevents.1708041798.ip-10-0-3-5.eu-west-1.compute.internal.25402.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:791e58486c88aa8c10cfa5d0ad52721a693f37e4caf3b7fb862ff4234aecf3c7
+size 412

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 6.01,
+    "train_loss": 0.3415145711453756,
+    "train_runtime": 260660.25,
+    "train_samples_per_second": 36.83,
+    "train_steps_per_second": 0.575
+}