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: 0.0138
-- Wer: 12.6982
-- Cer: 4.0643
+- Loss: 0.0141
+- Wer: 12.6647
+- Cer: 4.0046
 
 ## 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: 7
+- num_epochs: 8
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -99,13 +99,20 @@ The following hyperparameters were used during training:
 | 0.0016        | 5.6337 | 16000 | 4.3983  | 0.0134          | 13.8539  |
 | 0.0015        | 5.7746 | 16400 | 4.2035  | 0.0134          | 13.5426  |
 | 0.0016        | 5.9154 | 16800 | 4.2561  | 0.0134          | 13.6335  |
-| 0.0015        | 6.0563 | 17200 | 0.0134  | 13.6059         | 4.3246   |
-| 0.0015        | 6.1972 | 17600 | 0.0137  | 13.6142         | 4.1759   |
-| 0.0016        | 6.3380 | 18000 | 0.0137  | 13.5536         | 4.2195   |
-| 0.0014        | 6.4788 | 18400 | 0.0137  | 13.8760         | 4.4176   |
-| 0.0015        | 6.6197 | 18800 | 0.0137  | 13.5784         | 4.2144   |
-| 0.0015        | 6.7605 | 19200 | 0.0137  | 13.4874         | 4.1868   |
-| 0.0016        | 6.9013 | 19600 | 0.0137  | 13.3442         | 4.0946   |
+| 0.0015        | 6.0563 | 17200 | 4.3246  | 0.0134          | 13.6059  |
+| 0.0015        | 6.1972 | 17600 | 4.1759  | 0.0137          | 13.6142  |
+| 0.0016        | 6.3380 | 18000 | 4.2195  | 0.0137          | 13.5536  |
+| 0.0014        | 6.4788 | 18400 | 4.4176  | 0.0137          | 13.8760  |
+| 0.0015        | 6.6197 | 18800 | 4.2144  | 0.0137          | 13.5784  |
+| 0.0015        | 6.7605 | 19200 | 4.1868  | 0.0137          | 13.4874  |
+| 0.0016        | 6.9013 | 19600 | 4.0946  | 0.0137          | 13.3442  |
+| 0.0015        | 7.0422 | 20000 | 0.0139  | 13.5508         | 4.1526   |
+| 0.0012        | 7.1831 | 20400 | 0.0139  | 13.5040         | 4.1830   |
+| 0.0011        | 7.3239 | 20800 | 0.0138  | 13.3194         | 4.0708   |
+| 0.0017        | 7.4647 | 21200 | 0.0138  | 13.3552         | 4.0446   |
+| 0.0012        | 7.6056 | 21600 | 0.0139  | 13.3194         | 4.0699   |
+| 0.0011        | 7.7464 | 22000 | 0.0140  | 13.3001         | 4.0378   |
+| 0.0012        | 7.8872 | 22400 | 0.0139  | 13.3442         | 4.0558   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cae76b04802b8f9b4fe64c3135bc74911f7b45c2dc3c6d910d606238be3672f4
+oid sha256:b3401dd5ccddf6e9e01e258f141b21a20a6066cfa801fbf65ade51b86fc7845c
 size 151061672

runs/Feb17_10-12-52_ac64f08baa54/events.out.tfevents.1739815704.ac64f08baa54.18.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1d1507d439b983b8f03bd9ff06d988da2d7edc8a3e44afff329b4e8a795c8d0
+size 460