End of training

README.md

@@ -1,12 +1,25 @@
 ---
 base_model: nadsoft/Hamsa-tiny
 tags:
+- whisper-event
 - generated_from_trainer
+datasets:
+- nadsoft/QASR-Speech-Resource
 metrics:
 - wer
 model-index:
 - name: hamsa-tiny-pretrained
-  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: 28.726358005647974
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,7 +27,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # hamsa-tiny-pretrained
 
-This model is a fine-tuned version of [nadsoft/Hamsa-tiny](https://huggingface.co/nadsoft/Hamsa-tiny) on an unknown dataset.
+This model is a fine-tuned version of [nadsoft/Hamsa-tiny](https://huggingface.co/nadsoft/Hamsa-tiny) on the nadsoft/QASR-Speech-Resource default dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3795
 - Wer: 28.7264

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.0,
+    "eval_loss": 0.37952831387519836,
+    "eval_runtime": 299.9837,
+    "eval_samples_per_second": 16.684,
+    "eval_steps_per_second": 2.087,
+    "eval_wer": 28.726358005647974,
+    "train_loss": 0.47914609115600587,
+    "train_runtime": 101277.4875,
+    "train_samples_per_second": 31.596,
+    "train_steps_per_second": 0.494
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "eval_loss": 0.37952831387519836,
+    "eval_runtime": 299.9837,
+    "eval_samples_per_second": 16.684,
+    "eval_steps_per_second": 2.087,
+    "eval_wer": 28.726358005647974
+}

runs/Feb06_13-00-10_ip-10-0-3-5.eu-west-1.compute.internal/events.out.tfevents.1707326011.ip-10-0-3-5.eu-west-1.compute.internal.15312.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9b9911ff6e432c710ae4ce0af1a5c5697e75a5e8813b8a91aed0b8c2cae667ef
+size 412

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.0,
+    "train_loss": 0.47914609115600587,
+    "train_runtime": 101277.4875,
+    "train_samples_per_second": 31.596,
+    "train_steps_per_second": 0.494
+}