End of training

README.md

@@ -0,0 +1,63 @@
+---
+language:
+- ara
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- AsemBadr/GP
+model-index:
+- name: Whisper Small for Quran Recognition
+  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 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:
+- epoch: 4.9423
+- eval_loss: 0.0126
+- eval_runtime: 1705.0805
+- eval_samples_per_second: 1.423
+- eval_steps_per_second: 0.178
+- eval_wer: 2.4237
+- step: 3000
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 6000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 2.1.2
+- Datasets 2.17.1
+- Tokenizers 0.19.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "openai/whisper-small",
+  "_name_or_path": "AsemBadr/final-whisper-for-initial-publish",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
   "apply_spec_augment": false,

generation_config.json

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+  "language": "ar",
+  "max_length": 448,
+  "pad_token_id": 50257,
+  "suppress_tokens": [],
+  "transformers_version": "4.41.0.dev0"
+}

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training_args.bin

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