End of training

README.md

@@ -0,0 +1,88 @@
+---
+language:
+- ur
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small 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: 47.229551451187334
+---
+
+<!-- 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 Ur - TahaMan
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9384
+- Wer: 47.2296
+
+## 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: 400
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.7769        | 5.2632  | 50   | 0.7217          | 62.9288 |
+| 0.1271        | 10.5263 | 100  | 0.7884          | 62.4011 |
+| 0.0149        | 15.7895 | 150  | 0.8567          | 48.0211 |
+| 0.0039        | 21.0526 | 200  | 0.8914          | 47.2296 |
+| 0.0024        | 26.3158 | 250  | 0.9138          | 47.2296 |
+| 0.0018        | 31.5789 | 300  | 0.9278          | 47.2296 |
+| 0.0016        | 36.8421 | 350  | 0.9357          | 46.9657 |
+| 0.0014        | 42.1053 | 400  | 0.9384          | 47.2296 |
+
+
+### 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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+    [
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+    [
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+      5
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
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+  },
+  "language": "Urdu",
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+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
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+  "prev_sot_token_id": 50361,
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+  "task": "transcribe",
+  "task_to_id": {
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+  "transformers_version": "4.42.3"
+}

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