Training finished

README.md

@@ -20,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-ayat-speech-to-text dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0121
-- Wer: 13.2495
-- Cer: 4.3278
+- Loss: 0.0125
+- Wer: 13.1132
+- Cer: 4.4929
 
 ## Model description
 
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 2
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -64,13 +64,20 @@ The following hyperparameters were used during training:
 | 0.008         | 0.7042 | 2000 | 5.1235  | 0.0127          | 16.3695  |
 | 0.0057        | 0.8450 | 2400 | 4.8168  | 0.0119          | 15.2343  |
 | 0.0056        | 0.9858 | 2800 | 4.6678  | 0.0116          | 14.6364  |
-| 0.0071        | 1.1267 | 3200 | 0.0135  | 15.8929         | 5.3042   |
-| 0.0059        | 1.2676 | 3600 | 0.0132  | 15.7165         | 5.0437   |
-| 0.0056        | 1.4084 | 4000 | 0.0124  | 14.5758         | 5.3648   |
-| 0.0041        | 1.5492 | 4400 | 0.0122  | 14.2259         | 4.7531   |
-| 0.0038        | 1.6901 | 4800 | 0.0120  | 13.8043         | 4.7431   |
-| 0.004         | 1.8309 | 5200 | 0.0119  | 14.1818         | 4.9569   |
-| 0.0036        | 1.9717 | 5600 | 0.0118  | 14.0743         | 4.9171   |
+| 0.0071        | 1.1267 | 3200 | 5.3042  | 0.0135          | 15.8929  |
+| 0.0059        | 1.2676 | 3600 | 5.0437  | 0.0132          | 15.7165  |
+| 0.0056        | 1.4084 | 4000 | 5.3648  | 0.0124          | 14.5758  |
+| 0.0041        | 1.5492 | 4400 | 4.7531  | 0.0122          | 14.2259  |
+| 0.0038        | 1.6901 | 4800 | 4.7431  | 0.0120          | 13.8043  |
+| 0.004         | 1.8309 | 5200 | 4.9569  | 0.0119          | 14.1818  |
+| 0.0036        | 1.9717 | 5600 | 4.9171  | 0.0118          | 14.0743  |
+| 0.0033        | 2.1127 | 6000 | 0.0129  | 15.0828         | 5.0453   |
+| 0.0033        | 2.2535 | 6400 | 0.0128  | 14.9340         | 5.1424   |
+| 0.0033        | 2.3943 | 6800 | 0.0123  | 14.7329         | 5.0171   |
+| 0.0033        | 2.5352 | 7200 | 0.0122  | 13.6748         | 4.3676   |
+| 0.0034        | 2.6760 | 7600 | 0.0122  | 13.5618         | 4.5300   |
+| 0.0025        | 2.8168 | 8000 | 0.0122  | 13.3662         | 4.4698   |
+| 0.0028        | 2.9577 | 8400 | 0.0122  | 13.5536         | 4.5794   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7507fdfef841dc68d743a1f0ea9ae96fd86583d4b8f2c6a78adc58e88bda56ca
+oid sha256:51d5619c459155c47bd01aa5955aeaeb352a6ec1ae09efde7465df43001603d7
 size 151061672

runs/Feb15_00-35-12_62008635ca10/events.out.tfevents.1739608846.62008635ca10.18.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63da2209c578842c79e153431eb89a2197e3524ed768400416c7f8e3b98afe8d
+size 453