End of training

README.md

@@ -8,24 +8,9 @@ tags:
 - generated_from_trainer
 datasets:
 - AsemBadr/GP
-metrics:
-- wer
 model-index:
 - name: Whisper Small for Quran Recognition
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Quran_Reciters
-      type: AsemBadr/GP
-      config: default
-      split: test
-      args: 'config: default, split: train'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 3.163142513323019
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +19,6 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small for Quran Recognition
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Quran_Reciters dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0192
-- Wer: 3.1631
 
 ## Model description
 
@@ -62,34 +44,12 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 8000
+- training_steps: 12000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0073        | 1.62  | 500  | 0.0249          | 5.0026 |
-| 0.0014        | 3.24  | 1000 | 0.0214          | 4.1086 |
-| 0.0008        | 4.85  | 1500 | 0.0221          | 3.9883 |
-| 0.0           | 6.47  | 2000 | 0.0180          | 2.9740 |
-| 0.0           | 8.09  | 2500 | 0.0177          | 3.0944 |
-| 0.0           | 9.71  | 3000 | 0.0178          | 3.0944 |
-| 0.0           | 11.33 | 3500 | 0.0179          | 3.1288 |
-| 0.0           | 12.94 | 4000 | 0.0179          | 3.1288 |
-| 0.0           | 14.56 | 4500 | 0.0181          | 2.8881 |
-| 0.0           | 16.18 | 5000 | 0.0184          | 2.9225 |
-| 0.0           | 17.8  | 5500 | 0.0186          | 3.0256 |
-| 0.0           | 19.42 | 6000 | 0.0188          | 3.1803 |
-| 0.0           | 21.04 | 6500 | 0.0190          | 3.1631 |
-| 0.0           | 22.65 | 7000 | 0.0191          | 3.1631 |
-| 0.0           | 24.27 | 7500 | 0.0192          | 3.1803 |
-| 0.0           | 25.89 | 8000 | 0.0192          | 3.1631 |
-
-
 ### Framework versions
 
-- Transformers 4.40.0.dev0
+- Transformers 4.41.0.dev0
 - Pytorch 2.1.2
 - Datasets 2.17.1
-- Tokenizers 0.15.1
+- Tokenizers 0.19.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/kaggle/input/whisper-small-final/whisper-small-final",
+  "_name_or_path": "AsemBadr/whisper-small-final-v2",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
   "apply_spec_augment": false,
@@ -58,7 +58,7 @@
   "scale_embedding": false,
   "suppress_tokens": [],
   "torch_dtype": "float32",
-  "transformers_version": "4.40.0.dev0",
+  "transformers_version": "4.41.0.dev0",
   "use_cache": true,
   "use_weighted_layer_sum": false,
   "vocab_size": 51865

generation_config.json

@@ -261,5 +261,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.40.0.dev0"
+  "transformers_version": "4.41.0.dev0"
 }

training_args.bin

@@ -1,3 +1,3 @@
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-size 5112
+oid sha256:8670b231ff99f1056ac1ca9eace30dd28237f9f9b5ed3d195a172585f77b1d92
+size 5176