Model save
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README.md
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---
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library_name: transformers
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language:
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- ar
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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## Model description
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- optimizer: Use OptimizerNames.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_steps: 500
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| 1.6703 | 9.9763 | 14000 | 0.0979 | 0.2178 |
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| 1.5747 | 10.6884 | 15000 | 0.0973 | 0.2138 |
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| 1.5171 | 11.4005 | 16000 | 0.0972 | 0.2224 |
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### Framework versions
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---
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library_name: transformers
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license: apache-2.0
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base_model: Baselhany/Distilation_Whisper_base_CKP_256
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: Distilation_Whisper_base_CKP_256
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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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# Distilation_Whisper_base_CKP_256
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This model is a fine-tuned version of [Baselhany/Distilation_Whisper_base_CKP_256](https://huggingface.co/Baselhany/Distilation_Whisper_base_CKP_256) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1005
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- Wer: 0.2236
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## Model description
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- optimizer: Use OptimizerNames.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_steps: 500
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- num_epochs: 15
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- mixed_precision_training: Native AMP
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### Training results
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| 1.6703 | 9.9763 | 14000 | 0.0979 | 0.2178 |
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| 1.5747 | 10.6884 | 15000 | 0.0973 | 0.2138 |
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| 1.5171 | 11.4005 | 16000 | 0.0972 | 0.2224 |
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| 1.5088 | 12.1169 | 17000 | 0.0972 | 0.2188 |
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| 1.6396 | 12.8295 | 18000 | 0.0972 | 0.2203 |
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| 1.4925 | 13.5416 | 19000 | 0.0977 | 0.2283 |
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| 1.4158 | 14.2537 | 20000 | 0.0973 | 0.2147 |
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| 1.4426 | 14.9663 | 21000 | 0.0968 | 0.2165 |
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### Framework versions
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runs/Jun08_16-24-31_bcee4ad4e97b/events.out.tfevents.1749416287.bcee4ad4e97b.19.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:767d8bfb31e8d0e02f719010931841ddf73247c2112e6892ce730913f77a14af
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size 412
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