whisper-darija-v2 - WER 6.53%
Browse files- README.md +67 -0
- model.safetensors +1 -1
README.md
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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: ilyaslbern7347/whisper-darija-final
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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: whisper-darija-v2
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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-darija-v2
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This model is a fine-tuned version of [ilyaslbern7347/whisper-darija-final](https://huggingface.co/ilyaslbern7347/whisper-darija-final) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1471
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- Wer: 7.8431
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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: 0.0001
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- train_batch_size: 4
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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: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 25
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- training_steps: 200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-------:|:----:|:---------------:|:-------:|
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| 0.0969 | 3.5926 | 50 | 0.1945 | 11.1111 |
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| 0.0329 | 7.1481 | 100 | 0.1680 | 8.4967 |
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| 0.0037 | 10.7407 | 150 | 0.1405 | 6.5359 |
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| 0.0002 | 14.2963 | 200 | 0.1471 | 7.8431 |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.3
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- Tokenizers 0.22.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 966995080
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version https://git-lfs.github.com/spec/v1
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size 966995080
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