Training finished

README.md

@@ -20,8 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the quran-ayat-speech-to-text dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0984
-- Wer: 0.4063
+- Loss: 0.0626
+- Wer: 0.2836
 
 ## Model description
 
@@ -54,16 +54,40 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0375        | 2.5   | 100  | 0.0710          | 0.4562 |
-| 0.0153        | 5.0   | 200  | 0.0825          | 0.4610 |
-| 0.0068        | 7.5   | 300  | 0.0952          | 0.5871 |
-| 0.0132        | 10.0  | 400  | 0.1040          | 0.6013 |
-| 0.0093        | 12.5  | 500  | 0.1091          | 0.5994 |
-| 0.0042        | 15.0  | 600  | 0.1018          | 0.4415 |
-| 0.0005        | 17.5  | 700  | 0.0994          | 0.4286 |
-| 0.0001        | 20.0  | 800  | 0.0984          | 0.4063 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0586        | 0.625  | 100  | 0.0596          | 0.3968 |
+| 0.0458        | 1.25   | 200  | 0.0517          | 0.3544 |
+| 0.048         | 1.875  | 300  | 0.0509          | 0.4300 |
+| 0.0382        | 2.5    | 400  | 0.0527          | 0.4262 |
+| 0.0317        | 3.125  | 500  | 0.0573          | 0.4164 |
+| 0.035         | 3.75   | 600  | 0.0540          | 0.4011 |
+| 0.0232        | 4.375  | 700  | 0.0577          | 0.3961 |
+| 0.0186        | 5.0    | 800  | 0.0548          | 0.3407 |
+| 0.0132        | 5.625  | 900  | 0.0593          | 0.3522 |
+| 0.0052        | 6.25   | 1000 | 0.0586          | 0.3284 |
+| 0.0071        | 6.875  | 1100 | 0.0583          | 0.2953 |
+| 0.0041        | 7.5    | 1200 | 0.0587          | 0.3340 |
+| 0.0035        | 8.125  | 1300 | 0.0603          | 0.3633 |
+| 0.0026        | 8.75   | 1400 | 0.0616          | 0.3173 |
+| 0.0011        | 9.375  | 1500 | 0.0611          | 0.3018 |
+| 0.0022        | 10.0   | 1600 | 0.0602          | 0.3343 |
+| 0.001         | 10.625 | 1700 | 0.0605          | 0.3049 |
+| 0.0004        | 11.25  | 1800 | 0.0610          | 0.2913 |
+| 0.0003        | 11.875 | 1900 | 0.0617          | 0.2952 |
+| 0.0002        | 12.5   | 2000 | 0.0612          | 0.2991 |
+| 0.0002        | 13.125 | 2100 | 0.0630          | 0.2909 |
+| 0.0001        | 13.75  | 2200 | 0.0626          | 0.2836 |
+| 0.0001        | 14.375 | 2300 | 0.0620          | 0.2804 |
+| 0.0001        | 15.0   | 2400 | 0.0622          | 0.2838 |
+| 0.0002        | 15.625 | 2500 | 0.0625          | 0.2798 |
+| 0.0           | 16.25  | 2600 | 0.0625          | 0.2839 |
+| 0.0           | 16.875 | 2700 | 0.0627          | 0.2921 |
+| 0.0           | 17.5   | 2800 | 0.0629          | 0.2963 |
+| 0.0           | 18.125 | 2900 | 0.0630          | 0.2951 |
+| 0.0           | 18.75  | 3000 | 0.0631          | 0.2958 |
+| 0.0           | 19.375 | 3100 | 0.0631          | 0.2946 |
+| 0.0           | 20.0   | 3200 | 0.0631          | 0.2933 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:084ddc63062374bcf3dbb65049e950fd221351009edf85048245f6a656c91d16
+oid sha256:2e0ff1a3214a6ef440657ebeefdd4bd61c202d9e44f8ae88048674b40bd5d11b
 size 290403936

runs/Dec11_18-13-26_23b4b5520870/events.out.tfevents.1733961529.23b4b5520870.23.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d5b3fd30a7d52a1f0be300372197697a0ddb01310a4c2655c25d5618f5b99a1
+size 406