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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: ad019el/tamasheq-98-1 |
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model-index: |
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- name: tamasheq-98-2 |
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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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# tamasheq-98-2 |
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This model is a fine-tuned version of [ad019el/tamasheq-98-1](https://huggingface.co/ad019el/tamasheq-98-1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5349 |
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- Wer: 0.9667 |
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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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- mixed_precision_training: Native AMP |
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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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| 7.6372 | 9.62 | 500 | 2.3244 | 1.0519 | |
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| 0.5009 | 19.23 | 1000 | 1.4651 | 0.9444 | |
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| 0.2431 | 28.85 | 1500 | 1.5561 | 0.9741 | |
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| 0.2013 | 38.46 | 2000 | 1.6960 | 1.0407 | |
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| 0.1857 | 48.08 | 2500 | 1.5349 | 0.9667 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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