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--- |
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license: mit |
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base_model: microsoft/git-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: git-base-instagram-cap |
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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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# git-base-instagram-cap |
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1859 |
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- Wer Score: 1.0566 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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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- num_epochs: 50 |
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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 Score | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:| |
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| 7.3647 | 3.85 | 50 | 4.5576 | 1.0161 | |
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| 2.4064 | 7.69 | 100 | 0.5626 | 0.9656 | |
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| 0.2425 | 11.54 | 150 | 0.1644 | 0.8256 | |
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| 0.0894 | 15.38 | 200 | 0.1631 | 0.8623 | |
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| 0.0636 | 19.23 | 250 | 0.1660 | 0.8730 | |
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| 0.0472 | 23.08 | 300 | 0.1701 | 0.8783 | |
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| 0.0384 | 26.92 | 350 | 0.1743 | 0.8692 | |
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| 0.0327 | 30.77 | 400 | 0.1778 | 0.8814 | |
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| 0.0286 | 34.62 | 450 | 0.1791 | 0.8891 | |
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| 0.0242 | 38.46 | 500 | 0.1818 | 0.8982 | |
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| 0.0187 | 42.31 | 550 | 0.1831 | 0.9120 | |
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| 0.0141 | 46.15 | 600 | 0.1856 | 1.0092 | |
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| 0.012 | 50.0 | 650 | 0.1859 | 1.0566 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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