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---
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language:
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- he
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license: apache-2.0
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library_name: peft
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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datasets:
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- imvladikon/hebrew_speech_kan
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base_model: openai/whisper-tiny
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model-index:
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- name: TK_Whisper_ASR
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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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# TK_Whisper_ASR |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the KAN Hebrew Speech dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.4256 |
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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: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 1 | 6.4006 | |
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| No log | 2.0 | 2 | 6.4006 | |
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| No log | 3.0 | 3 | 6.4006 | |
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| No log | 4.0 | 4 | 6.4006 | |
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| No log | 5.0 | 5 | 6.4006 | |
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| No log | 6.0 | 6 | 6.3966 | |
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| No log | 7.0 | 7 | 6.3910 | |
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| No log | 8.0 | 8 | 6.3844 | |
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| No log | 9.0 | 9 | 6.3857 | |
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| No log | 10.0 | 10 | 6.3694 | |
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| No log | 11.0 | 11 | 6.3381 | |
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| No log | 12.0 | 12 | 6.3115 | |
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| No log | 13.0 | 13 | 6.2788 | |
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| No log | 14.0 | 14 | 6.2411 | |
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| No log | 15.0 | 15 | 6.1932 | |
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| No log | 16.0 | 16 | 6.1552 | |
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| No log | 17.0 | 17 | 6.1146 | |
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| No log | 18.0 | 18 | 6.0711 | |
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| No log | 19.0 | 19 | 6.0122 | |
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| No log | 20.0 | 20 | 5.9643 | |
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| No log | 21.0 | 21 | 5.9193 | |
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| No log | 22.0 | 22 | 5.8783 | |
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| No log | 23.0 | 23 | 5.8258 | |
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| No log | 24.0 | 24 | 5.7742 | |
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| 6.7306 | 25.0 | 25 | 5.7174 | |
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| 6.7306 | 26.0 | 26 | 5.6629 | |
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| 6.7306 | 27.0 | 27 | 5.6041 | |
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| 6.7306 | 28.0 | 28 | 5.5453 | |
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| 6.7306 | 29.0 | 29 | 5.4896 | |
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| 6.7306 | 30.0 | 30 | 5.4256 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.0 |
