Model save

README.md

@@ -0,0 +1,85 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: sharjeel103/whisper-base-urdu
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: exp_004_base_multistage_urdu
+  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. -->
+
+# exp_004_base_multistage_urdu
+
+This model is a fine-tuned version of [sharjeel103/whisper-base-urdu](https://huggingface.co/sharjeel103/whisper-base-urdu) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3947
+- Wer: 65.7765
+- Wer Ortho: 68.6697
+- Cer: 21.6281
+
+## 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: 5e-06
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- training_steps: 10000
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Wer     | Wer Ortho | Cer     |
+|:-------------:|:-------:|:-----:|:---------------:|:-------:|:---------:|:-------:|
+| 5.0263        | 0.6410  | 500   | 1.5195          | 95.4066 | 95.7445   | 33.6187 |
+| 3.5885        | 1.2821  | 1000  | 0.9330          | 89.3228 | 90.2797   | 30.3680 |
+| 3.0302        | 1.9231  | 1500  | 0.7431          | 82.6594 | 84.2995   | 27.0128 |
+| 2.6802        | 2.5641  | 2000  | 0.6501          | 79.3803 | 81.3448   | 26.0944 |
+| 2.4353        | 3.2051  | 2500  | 0.5907          | 76.0507 | 78.3277   | 24.5965 |
+| 2.2853        | 3.8462  | 3000  | 0.5492          | 74.3293 | 76.6987   | 24.3492 |
+| 2.1399        | 4.4872  | 3500  | 0.5184          | 72.7590 | 75.1236   | 23.5756 |
+| 2.0097        | 5.1282  | 4000  | 0.4915          | 70.1810 | 72.8504   | 22.8648 |
+| 1.9407        | 5.7692  | 4500  | 0.4697          | 69.6855 | 72.3975   | 22.6328 |
+| 1.8625        | 6.4103  | 5000  | 0.4527          | 68.6736 | 71.3502   | 22.4363 |
+| 1.7877        | 7.0513  | 5500  | 0.4359          | 68.1740 | 70.8474   | 22.0212 |
+| 1.7349        | 7.6923  | 6000  | 0.4235          | 68.3125 | 71.0136   | 22.4257 |
+| 1.6679        | 8.3333  | 6500  | 0.4130          | 66.2846 | 69.0105   | 21.4575 |
+| 1.6108        | 8.9744  | 7000  | 0.4019          | 66.2804 | 69.1560   | 21.8611 |
+| 1.5329        | 9.6154  | 7500  | 0.3947          | 65.7765 | 68.6697   | 21.6281 |
+| 1.5234        | 10.2564 | 8000  | 0.3889          | 66.0621 | 68.8651   | 21.4800 |
+| 1.5123        | 10.8974 | 8500  | 0.3841          | 66.1796 | 69.0396   | 21.5778 |
+| 1.4779        | 11.5385 | 9000  | 0.3809          | 65.9949 | 68.8900   | 21.5524 |
+| 1.4631        | 12.1795 | 9500  | 0.3787          | 65.9739 | 68.8277   | 21.4915 |
+| 1.4256        | 12.8205 | 10000 | 0.3778          | 65.8857 | 68.7238   | 21.5002 |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.10.0+cu128
+- Datasets 3.6.0
+- Tokenizers 0.22.2

experiment_log.txt

@@ -3876,3 +3876,186 @@ A custom logits processor of type <class 'transformers.generation.logits_process
 
 There were missing keys in the checkpoint model loaded: ['proj_out.weight'].
 
                                                        
+{'train_runtime': '7.646e+04', 'train_samples_per_second': '8.371', 'train_steps_per_second': '0.131', 'train_loss': '2.422', 'epoch': '12.82'}
+
+Running final evaluation...
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+
+Final Evaluation Results:
+  eval_loss: 0.3947
+  eval_wer: 65.7765
+  eval_wer_ortho: 68.6697
+  eval_cer: 21.6281
+  eval_runtime: 367.2512
+  eval_samples_per_second: 7.6270
+  eval_steps_per_second: 0.4790
+  epoch: 12.8205
+
+Saving final model to /workspace/experiments/exp_004_base_multistage_urdu...
+
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