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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-CocoCaptions |
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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-CocoCaptions |
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the Smaller COCO dataset for image captioning. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2839 |
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- Wer Score: 1.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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University researcg project |
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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: 0.01 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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: 10 |
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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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| No log | 0.8 | 100 | 0.2959 | 1.0 | |
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| No log | 1.6 | 200 | 0.2859 | 1.0 | |
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| No log | 2.4 | 300 | 0.2821 | 1.0 | |
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| No log | 3.2 | 400 | 0.2863 | 1.0 | |
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| 0.4331 | 4.0 | 500 | 0.2833 | 1.0 | |
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| 0.4331 | 4.8 | 600 | 0.2837 | 1.0 | |
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| 0.4331 | 5.6 | 700 | 0.2827 | 1.0 | |
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| 0.4331 | 6.4 | 800 | 0.2850 | 1.0 | |
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| 0.4331 | 7.2 | 900 | 0.2870 | 1.0 | |
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| 0.2566 | 8.0 | 1000 | 0.2842 | 1.0 | |
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| 0.2566 | 8.8 | 1100 | 0.2841 | 1.0 | |
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| 0.2566 | 9.6 | 1200 | 0.2839 | 1.0 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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