Model save

README.md

@@ -1,27 +1,25 @@
 ---
 library_name: transformers
-language:
-- ar
 license: apache-2.0
-base_model: openai/whisper-base
+base_model: Baselhany/Distilation_Whisper_base_CKP
 tags:
 - generated_from_trainer
 metrics:
 - wer
 model-index:
-- name: Whisper base AR - BA
+- name: Distilation_Whisper_base_CKP
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper base AR - BA
+# Distilation_Whisper_base_CKP
 
-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.
+This model is a fine-tuned version of [Baselhany/Distilation_Whisper_base_CKP](https://huggingface.co/Baselhany/Distilation_Whisper_base_CKP) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1140
-- Wer: 0.2431
+- Loss: 0.1073
+- Wer: 0.2214
 
 ## Model description
 
@@ -49,23 +47,48 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 3.0
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer    |
-|:-------------:|:------:|:----:|:---------------:|:------:|
-| 46.3716       | 0.2851 | 400  | 0.1697          | 0.6098 |
-| 16.3386       | 0.5701 | 800  | 0.1358          | 0.3553 |
-| 11.9313       | 0.8552 | 1200 | 0.1236          | 0.3021 |
-| 8.1383        | 1.1397 | 1600 | 0.1211          | 0.2676 |
-| 6.2069        | 1.4247 | 2000 | 0.1188          | 0.2626 |
-| 5.6497        | 1.7098 | 2400 | 0.1146          | 0.2371 |
-| 5.2035        | 1.9948 | 2800 | 0.1113          | 0.2395 |
-| 4.7207        | 2.2794 | 3200 | 0.1112          | 0.2258 |
-| 4.1488        | 2.5644 | 3600 | 0.1108          | 0.2389 |
-| 4.0903        | 2.8495 | 4000 | 0.1094          | 0.2219 |
+| Training Loss | Epoch  | Step  | Validation Loss | Wer    |
+|:-------------:|:------:|:-----:|:---------------:|:------:|
+| 46.3716       | 0.2851 | 400   | 0.1697          | 0.6098 |
+| 16.3386       | 0.5701 | 800   | 0.1358          | 0.3553 |
+| 11.9313       | 0.8552 | 1200  | 0.1236          | 0.3021 |
+| 8.1383        | 1.1397 | 1600  | 0.1211          | 0.2676 |
+| 6.2069        | 1.4247 | 2000  | 0.1188          | 0.2626 |
+| 5.6497        | 1.7098 | 2400  | 0.1146          | 0.2371 |
+| 5.2035        | 1.9948 | 2800  | 0.1113          | 0.2395 |
+| 4.7207        | 2.2794 | 3200  | 0.1112          | 0.2258 |
+| 4.1488        | 2.5644 | 3600  | 0.1108          | 0.2389 |
+| 4.0903        | 2.8495 | 4000  | 0.1094          | 0.2219 |
+| 4.2814        | 3.1361 | 4400  | 0.1135          | 0.2302 |
+| 4.0634        | 3.4212 | 4800  | 0.1100          | 0.2300 |
+| 3.8832        | 3.7062 | 5200  | 0.1101          | 0.2203 |
+| 4.0159        | 3.9913 | 5600  | 0.1073          | 0.2238 |
+| 3.1347        | 4.2758 | 6000  | 0.1089          | 0.2230 |
+| 3.4745        | 4.5608 | 6400  | 0.1049          | 0.2140 |
+| 3.1785        | 4.8459 | 6800  | 0.1070          | 0.2119 |
+| 2.8142        | 5.1304 | 7200  | 0.1034          | 0.2094 |
+| 2.6992        | 5.4155 | 7600  | 0.1051          | 0.2149 |
+| 2.5099        | 5.7005 | 8000  | 0.1071          | 0.2203 |
+| 2.4995        | 5.9856 | 8400  | 0.1032          | 0.2216 |
+| 2.1725        | 6.2701 | 8800  | 0.1032          | 0.2318 |
+| 2.171         | 6.5551 | 9200  | 0.1023          | 0.2187 |
+| 2.3072        | 6.8402 | 9600  | 0.1019          | 0.2191 |
+| 1.9543        | 7.1247 | 10000 | 0.1028          | 0.2119 |
+| 2.0848        | 7.4098 | 10400 | 0.1017          | 0.2112 |
+| 1.9636        | 7.6948 | 10800 | 0.1020          | 0.2159 |
+| 1.9283        | 7.9799 | 11200 | 0.1010          | 0.2131 |
+| 1.8101        | 8.2644 | 11600 | 0.1010          | 0.2107 |
+| 1.9462        | 8.5494 | 12000 | 0.1010          | 0.2137 |
+| 1.9585        | 8.8345 | 12400 | 0.1006          | 0.2151 |
+| 1.6228        | 9.1190 | 12800 | 0.1005          | 0.2160 |
+| 1.7241        | 9.4041 | 13200 | 0.0999          | 0.2218 |
+| 1.7732        | 9.6891 | 13600 | 0.1001          | 0.2163 |
+| 1.6427        | 9.9742 | 14000 | 0.1001          | 0.2157 |
 
 
 ### Framework versions

generation_config.json

@@ -65,20 +65,7 @@
     "1": "LABEL_1"
   },
   "init_std": 0.02,
-  "input_ids": [
-    [
-      1,
-      50272
-    ],
-    [
-      2,
-      50359
-    ],
-    [
-      3,
-      50363
-    ]
-  ],
+  "input_ids": null,
   "is_decoder": false,
   "is_encoder_decoder": true,
   "is_multilingual": true,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de67a48c73fe5aad01e1f2151a9cc56d30114a5e2f0216e9a2ed88a1e47356bd
+oid sha256:d6f1cb55752a813c3cb34eca50717ca9a3a3adf2f4c4a972bb85d6d85e1b2a28
 size 223144592

runs/May23_01-47-39_e1661d92042b/events.out.tfevents.1748002945.e1661d92042b.19.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:37454bffa40912f4f8afca8ae7dbe2a0f3ee35d1b0d8432e555f5f502ba2a265
+size 406