nomnoos37/stt-turbo-1226-v1.1

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the custom dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8169
+- Loss: 0.8096
 
 ## Model description
 
@@ -51,7 +51,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 0.5463        | 0.1471 | 10   | 0.8169          |
+| 0.5468        | 0.1471 | 10   | 0.8096          |
 
 
 ### Framework versions

adapter_config.json

@@ -26,8 +26,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "v_proj"
+    "v_proj",
+    "q_proj"
   ],
   "task_type": null,
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1675de6560e594318b9a0634e87b1761a69cecb8b66e85dbc59e2a2d0295b4da
+oid sha256:1697f30ee173cccb5495d72d04218594d99135c093701345703abe542f582bad
 size 26237160

runs/Dec26_10-40-58_gglabs-a6000/events.out.tfevents.1735227658.gglabs-a6000

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f49dc5ddc88f4bf4e28594b459c2102037c08f88e5d293f9b7a27fc35201a51c
+size 7111

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f57e308c3acbe39c2848cb582543d2da98822ff9b8b6ecb38b6159b390cc1e17
+oid sha256:475a9c26a3ae05f2cdef660fa16e1d75f2eac3abbee9ef973711d3863a0a9c2e
 size 5496