End of training

README.md

@@ -2,9 +2,9 @@
 language:
 - ar
 license: apache-2.0
+base_model: tarteel-ai/whisper-base-ar-quran
 tags:
 - generated_from_trainer
-base_model: tarteel-ai/whisper-base-ar-quran
 datasets:
 - zolfa
 metrics:
@@ -13,16 +13,16 @@ model-index:
 - name: Whisper-raghadomar
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: Zolfa Dataset
       type: zolfa
       args: 'config: ar, split: test'
     metrics:
-    - type: wer
+    - name: Wer
+      type: wer
       value: 6.896551724137931
-      name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [tarteel-ai/whisper-base-ar-quran](https://huggingface.co/tarteel-ai/whisper-base-ar-quran) on the Zolfa Dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0196
+- Loss: 0.0208
 - Wer: 6.8966
 
 ## Model description
@@ -53,7 +53,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 16
+- train_batch_size: 4
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -64,18 +64,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer    |
-|:-------------:|:-------:|:----:|:---------------:|:------:|
-| 0.0084        | 2.8571  | 100  | 0.0224          | 6.8966 |
-| 0.0017        | 5.7143  | 200  | 0.0177          | 6.8966 |
-| 0.0004        | 8.5714  | 300  | 0.0161          | 6.8966 |
-| 0.0001        | 11.4286 | 400  | 0.0187          | 6.8966 |
-| 0.0003        | 14.2857 | 500  | 0.0171          | 6.8966 |
-| 0.0001        | 17.1429 | 600  | 0.0200          | 6.8966 |
-| 0.0001        | 20.0    | 700  | 0.0169          | 6.8966 |
-| 0.0002        | 22.8571 | 800  | 0.0187          | 6.8966 |
-| 0.0002        | 25.7143 | 900  | 0.0186          | 6.8966 |
-| 0.0001        | 28.5714 | 1000 | 0.0196          | 6.8966 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0191        | 0.7143 | 100  | 0.0403          | 6.8966 |
+| 0.0065        | 1.4286 | 200  | 0.0149          | 6.8966 |
+| 0.009         | 2.1429 | 300  | 0.0263          | 6.8966 |
+| 0.0106        | 2.8571 | 400  | 0.0417          | 6.8966 |
+| 0.0011        | 3.5714 | 500  | 0.0195          | 6.8966 |
+| 0.0028        | 4.2857 | 600  | 0.0223          | 6.8966 |
+| 0.0001        | 5.0    | 700  | 0.0188          | 6.8966 |
+| 0.0017        | 5.7143 | 800  | 0.0212          | 6.8966 |
+| 0.0001        | 6.4286 | 900  | 0.0199          | 6.8966 |
+| 0.0009        | 7.1429 | 1000 | 0.0208          | 6.8966 |
 
 
 ### Framework versions

generation_config.json

@@ -1,4 +1,46 @@
 {
+  "alignment_heads": [
+    [
+      5,
+      3
+    ],
+    [
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+      0
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+    [
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+    [
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+    [
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+    [
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+      9
+    ],
+    [
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+      5
+    ]
+  ],
   "begin_suppress_tokens": [
     220,
     50257
@@ -20,9 +62,118 @@
       50363
     ]
   ],
-  "max_length": 1024,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "no_timestamps_token_id": 50363,
   "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
   "suppress_tokens": [],
-  "transformers_version": "4.41.2",
-  "use_cache": false
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.41.2"
 }

model.safetensors

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 size 966995080

runs/Jun04_13-58-48_f74e2541c0b0/events.out.tfevents.1717509540.f74e2541c0b0.195.2

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