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--- |
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base_model: ad019el/Kabyle_xlsr-finetuned-tamasheq.en |
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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: Kabyle_xlsr-finetuned-tamasheq.en |
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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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# Kabyle_xlsr-finetuned-tamasheq.en |
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This model is a fine-tuned version of [ad019el/Kabyle_xlsr-finetuned-tamasheq.en](https://huggingface.co/ad019el/Kabyle_xlsr-finetuned-tamasheq.en) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6805 |
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- Wer: 0.8586 |
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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: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 500 |
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- num_epochs: 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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| 5.637 | 7.89 | 300 | 2.8478 | 1.0 | |
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| 1.8487 | 15.79 | 600 | 1.5027 | 0.9196 | |
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| 0.6213 | 23.68 | 900 | 1.4700 | 0.8810 | |
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| 0.4539 | 31.58 | 1200 | 1.5753 | 0.8824 | |
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| 0.3551 | 39.47 | 1500 | 1.6545 | 0.8690 | |
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| 0.3079 | 47.37 | 1800 | 1.6805 | 0.8586 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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