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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: 1.3502 |
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- Wer: 0.8867 |
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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: 8 |
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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: 16 |
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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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| 6.9014 | 3.41 | 300 | 2.9702 | 1.0 | |
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| 2.922 | 6.82 | 600 | 2.7233 | 1.0 | |
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| 2.4143 | 10.23 | 900 | 1.3795 | 0.9122 | |
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| 1.6795 | 13.64 | 1200 | 1.3346 | 0.8810 | |
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| 1.5 | 17.05 | 1500 | 1.3412 | 0.9207 | |
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| 1.4151 | 20.45 | 1800 | 1.3307 | 0.9037 | |
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| 1.3298 | 23.86 | 2100 | 1.3467 | 0.8782 | |
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| 1.2517 | 27.27 | 2400 | 1.3027 | 0.8768 | |
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| 1.2162 | 30.68 | 2700 | 1.3134 | 0.8810 | |
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| 1.1987 | 34.09 | 3000 | 1.3336 | 0.8754 | |
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| 1.1706 | 37.5 | 3300 | 1.3502 | 0.8867 | |
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### Framework versions |
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- Transformers 4.33.0 |
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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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