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README.md
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---
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license: mit
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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-coco-dummy-temp12
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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-coco-dummy-temp12
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This model is a fine-tuned version of [microsoft/git-base-coco](https://huggingface.co/microsoft/git-base-coco) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3199
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- Wer Score: 2.1457
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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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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- num_epochs: 50
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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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| 7.2365 | 3.23 | 50 | 4.6009 | 2.7286 |
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| 2.7457 | 6.45 | 100 | 0.9830 | 2.0444 |
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| 0.5898 | 9.68 | 150 | 0.4162 | 1.9788 |
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| 0.2845 | 12.9 | 200 | 0.3463 | 2.3103 |
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| 0.1764 | 16.13 | 250 | 0.3227 | 2.3805 |
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| 0.1162 | 19.35 | 300 | 0.3167 | 2.3759 |
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| 0.0856 | 22.58 | 350 | 0.3144 | 2.2456 |
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| 0.065 | 25.81 | 400 | 0.3138 | 2.3201 |
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| 0.0513 | 29.03 | 450 | 0.3149 | 2.1917 |
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| 0.0435 | 32.26 | 500 | 0.3163 | 2.1561 |
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| 0.0363 | 35.48 | 550 | 0.3162 | 2.1466 |
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| 0.0312 | 38.71 | 600 | 0.3179 | 2.1793 |
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| 0.0286 | 41.94 | 650 | 0.3200 | 2.2413 |
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| 0.0267 | 45.16 | 700 | 0.3204 | 2.1061 |
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| 0.0255 | 48.39 | 750 | 0.3199 | 2.1457 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.3
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- Tokenizers 0.13.3
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