End of training

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-small-ar-12hrsdarijadata-April21-params1
+  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-ar-12hrsdarijadata-April21-params1
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6189
+- Wer: 57.5010
+- Cer: 22.7156
+
+## 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: 300
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 1.0603        | 0.38  | 250  | 0.8352          | 73.3652 | 36.2817 |
+| 0.7041        | 0.75  | 500  | 0.6119          | 66.8656 | 29.7437 |
+| 0.4434        | 1.13  | 750  | 0.5534          | 56.4001 | 24.9692 |
+| 0.4344        | 1.51  | 1000 | 0.5341          | 55.8827 | 22.2788 |
+| 0.3683        | 1.89  | 1250 | 0.5171          | 53.8931 | 23.3545 |
+| 0.2964        | 2.26  | 1500 | 0.5245          | 53.2697 | 21.4447 |
+| 0.2126        | 2.64  | 1750 | 0.5267          | 51.0545 | 19.9624 |
+| 0.2095        | 3.02  | 2000 | 0.5428          | 55.1267 | 21.9697 |
+| 0.1452        | 3.39  | 2250 | 0.5636          | 59.2386 | 23.4962 |
+| 0.1123        | 3.77  | 2500 | 0.5598          | 54.0257 | 21.7816 |
+| 0.077         | 4.15  | 2750 | 0.5809          | 53.5747 | 23.3614 |
+| 0.0624        | 4.52  | 3000 | 0.5897          | 53.6941 | 22.1417 |
+| 0.0492        | 4.9   | 3250 | 0.5973          | 54.0921 | 20.3922 |
+| 0.0571        | 5.28  | 3500 | 0.6128          | 54.3043 | 21.2704 |
+| 0.0637        | 5.66  | 3750 | 0.6139          | 54.6890 | 22.2114 |
+| 0.0288        | 6.03  | 4000 | 0.6189          | 57.5010 | 22.7156 |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.1.dev0
+- Tokenizers 0.13.3

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+}

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