End of training
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README.md
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---
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library_name: transformers
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base_model: Ahmed107/whisper-small-ar-eos-v8
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: whisper-small-ar-eos-v8-eos-v12-2.5
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# whisper-small-ar-eos-v8-eos-v12-2.5
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This model is a fine-tuned version of [Ahmed107/whisper-small-ar-eos-v8](https://huggingface.co/Ahmed107/whisper-small-ar-eos-v8) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3173
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- Accuracy: 0.6657
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.2
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.5805 | 1.0 | 506 | 0.7427 | 0.5 |
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| 0.5596 | 2.0 | 1012 | 0.6658 | 0.6306 |
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| 0.4595 | 3.0 | 1518 | 0.7195 | 0.6217 |
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| 0.5451 | 4.0 | 2024 | 0.6221 | 0.6791 |
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| 0.4334 | 5.0 | 2530 | 0.6253 | 0.6936 |
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| 0.3446 | 6.0 | 3036 | 0.7335 | 0.6730 |
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| 0.3106 | 7.0 | 3542 | 0.8420 | 0.6702 |
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| 0.1988 | 8.0 | 4048 | 1.0634 | 0.6842 |
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| 0.1554 | 9.0 | 4554 | 1.2181 | 0.6747 |
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| 0.0698 | 10.0 | 5060 | 1.5398 | 0.6802 |
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| 0.1746 | 11.0 | 5566 | 1.8350 | 0.6652 |
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| 0.0639 | 12.0 | 6072 | 2.3253 | 0.6602 |
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| 0.0004 | 13.0 | 6578 | 2.4828 | 0.6663 |
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| 0.0338 | 14.0 | 7084 | 2.5842 | 0.6758 |
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| 0.0006 | 15.0 | 7590 | 2.7395 | 0.6713 |
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| 0.0002 | 16.0 | 8096 | 2.7720 | 0.6669 |
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| 0.0001 | 17.0 | 8602 | 2.7865 | 0.6685 |
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| 0.0002 | 18.0 | 9108 | 2.8497 | 0.6607 |
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| 0.0002 | 19.0 | 9614 | 2.8792 | 0.6607 |
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| 0.008 | 20.0 | 10120 | 2.9188 | 0.6691 |
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| 0.0001 | 21.0 | 10626 | 2.7606 | 0.6920 |
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| 0.0051 | 22.0 | 11132 | 3.0888 | 0.6669 |
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| 0.0 | 23.0 | 11638 | 3.0709 | 0.6747 |
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| 0.0 | 24.0 | 12144 | 3.1538 | 0.6730 |
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| 0.0 | 25.0 | 12650 | 3.2574 | 0.6646 |
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| 0.0 | 26.0 | 13156 | 3.2662 | 0.6663 |
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| 0.0 | 27.0 | 13662 | 3.2635 | 0.6685 |
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| 0.0 | 28.0 | 14168 | 3.2895 | 0.6669 |
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| 0.0 | 29.0 | 14674 | 3.3094 | 0.6652 |
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| 0.0 | 30.0 | 15180 | 3.3173 | 0.6657 |
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### Framework versions
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- Transformers 4.48.0.dev0
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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runs/Jan08_20-46-40_44d17c63b244/events.out.tfevents.1736369211.44d17c63b244.255.0
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