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--- |
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library_name: transformers |
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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-one-entrance-dungeons |
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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-one-entrance-dungeons |
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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: 0.0219 |
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- Wer Score: 1.2 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 100 |
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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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| 0.025 | 5.0 | 10 | 0.0412 | 18.6 | |
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| 0.0225 | 10.0 | 20 | 0.0377 | 18.8 | |
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| 0.0182 | 15.0 | 30 | 0.0377 | 20.6 | |
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| 0.0135 | 20.0 | 40 | 0.0337 | 21.2 | |
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| 0.0095 | 25.0 | 50 | 0.0314 | 17.0 | |
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| 0.0067 | 30.0 | 60 | 0.0256 | 17.0 | |
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| 0.0054 | 35.0 | 70 | 0.0177 | 5.8 | |
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| 0.006 | 40.0 | 80 | 0.0240 | 37.8 | |
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| 0.0063 | 45.0 | 90 | 0.0213 | 0.2 | |
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| 0.0032 | 50.0 | 100 | 0.0222 | 1.8 | |
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| 0.0021 | 55.0 | 110 | 0.0210 | 1.6 | |
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| 0.0015 | 60.0 | 120 | 0.0203 | 2.6 | |
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| 0.0012 | 65.0 | 130 | 0.0211 | 1.4 | |
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| 0.0011 | 70.0 | 140 | 0.0217 | 1.4 | |
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| 0.001 | 75.0 | 150 | 0.0218 | 1.2 | |
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| 0.0009 | 80.0 | 160 | 0.0219 | 1.2 | |
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| 0.0009 | 85.0 | 170 | 0.0219 | 1.2 | |
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| 0.0009 | 90.0 | 180 | 0.0219 | 1.2 | |
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| 0.0009 | 95.0 | 190 | 0.0219 | 1.2 | |
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| 0.0009 | 100.0 | 200 | 0.0219 | 1.2 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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