End of training

README.md

@@ -0,0 +1,90 @@
+---
+language:
+- ur
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Base Ur - TahaMan
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: ur
+      split: None
+      args: 'config: ur, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 60.76523994811932
+---
+
+<!-- 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 Ur - TahaMan
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1893
+- Wer: 60.7652
+
+## 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: 32
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 1.1544        | 4.0   | 50   | 0.9766          | 57.2633 |
+| 0.5159        | 8.0   | 100  | 0.9178          | 75.0324 |
+| 0.2399        | 12.0  | 150  | 0.9604          | 76.7185 |
+| 0.1005        | 16.0  | 200  | 1.0300          | 59.1440 |
+| 0.0372        | 20.0  | 250  | 1.0988          | 70.0389 |
+| 0.0168        | 24.0  | 300  | 1.1373          | 66.3424 |
+| 0.0109        | 28.0  | 350  | 1.1638          | 61.0246 |
+| 0.0085        | 32.0  | 400  | 1.1781          | 61.0895 |
+| 0.0074        | 36.0  | 450  | 1.1864          | 60.9598 |
+| 0.0069        | 40.0  | 500  | 1.1893          | 60.7652 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+  "eos_token_id": 50257,
+  "is_multilingual": true,
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+  "transformers_version": "4.42.3"
+}

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