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--- |
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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: testing_pretrained_tamasheq_only_FE |
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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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# testing_pretrained_tamasheq_only_FE |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8742 |
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- Wer: 0.8333 |
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- Cer: 0.3145 |
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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: 350 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:| |
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| 6.3383 | 35.29 | 300 | 2.9420 | 1.0 | 1.0 | |
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| 2.8426 | 70.59 | 600 | 2.7381 | 1.0 | 1.0 | |
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| 2.7564 | 105.88 | 900 | 2.7200 | 1.0 | 1.0 | |
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| 2.5802 | 141.18 | 1200 | 1.9677 | 1.0 | 0.7640 | |
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| 1.556 | 176.47 | 1500 | 1.4901 | 0.8481 | 0.3166 | |
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| 0.9319 | 211.76 | 1800 | 1.6803 | 0.8481 | 0.3067 | |
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| 0.7365 | 247.06 | 2100 | 1.7447 | 0.8481 | 0.3110 | |
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| 0.6363 | 282.35 | 2400 | 1.8439 | 0.8370 | 0.3110 | |
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| 0.5882 | 317.65 | 2700 | 1.8742 | 0.8333 | 0.3145 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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