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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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datasets: |
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- imagefolder |
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model-index: |
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- name: git-base-food |
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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-food |
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0621 |
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- Wer Score: 4.7174 |
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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: 2 |
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- total_train_batch_size: 16 |
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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: 20 |
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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 | 1.48 | 20 | 7.3896 | 132.1522 | |
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| No log | 2.96 | 40 | 5.5234 | 1.1413 | |
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| No log | 4.44 | 60 | 3.7317 | 1.1196 | |
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| No log | 5.93 | 80 | 2.1477 | 1.1304 | |
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| No log | 7.41 | 100 | 0.9848 | 1.1087 | |
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| No log | 8.89 | 120 | 0.3860 | 1.1304 | |
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| No log | 10.37 | 140 | 0.1720 | 1.1087 | |
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| No log | 11.85 | 160 | 0.1022 | 1.1196 | |
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| No log | 13.33 | 180 | 0.0745 | 1.0543 | |
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| No log | 14.81 | 200 | 0.0665 | 2.9239 | |
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| No log | 16.3 | 220 | 0.0631 | 2.7174 | |
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| No log | 17.78 | 240 | 0.0622 | 2.5326 | |
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| No log | 19.26 | 260 | 0.0621 | 4.7174 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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