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End of training

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README.md ADDED
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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-new-one-entrance-dungeons-35
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+ results: []
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+ ---
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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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+
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+ # git-base-new-one-entrance-dungeons-35
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+
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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: 5.6255
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+ - Wer Score: 19.8
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-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: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 35
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer Score |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|
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+ | 7.2058 | 0.8 | 2 | 7.1464 | 69.7 |
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+ | 7.1938 | 1.6 | 4 | 7.1157 | 69.7 |
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+ | 7.1572 | 2.4 | 6 | 7.0644 | 69.7 |
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+ | 7.0951 | 3.2 | 8 | 6.9847 | 69.7 |
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+ | 7.0118 | 4.0 | 10 | 6.9004 | 69.7 |
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+ | 6.928 | 4.8 | 12 | 6.8197 | 69.7 |
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+ | 6.8465 | 5.6 | 14 | 6.7396 | 69.65 |
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+ | 6.7675 | 6.4 | 16 | 6.6637 | 69.4 |
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+ | 6.6913 | 7.2 | 18 | 6.5899 | 69.65 |
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+ | 6.6176 | 8.0 | 20 | 6.5193 | 65.0 |
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+ | 6.5466 | 8.8 | 22 | 6.4509 | 69.7 |
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+ | 6.4786 | 9.6 | 24 | 6.3847 | 21.9 |
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+ | 6.4126 | 10.4 | 26 | 6.3221 | 21.0 |
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+ | 6.3502 | 11.2 | 28 | 6.2613 | 69.25 |
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+ | 6.2899 | 12.0 | 30 | 6.2033 | 19.65 |
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+ | 6.2323 | 12.8 | 32 | 6.1486 | 19.7 |
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+ | 6.1779 | 13.6 | 34 | 6.0961 | 19.8 |
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+ | 6.1258 | 14.4 | 36 | 6.0462 | 19.85 |
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+ | 6.0761 | 15.2 | 38 | 5.9986 | 19.85 |
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+ | 6.0298 | 16.0 | 40 | 5.9544 | 19.9 |
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+ | 5.9861 | 16.8 | 42 | 5.9129 | 19.8 |
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+ | 5.9451 | 17.6 | 44 | 5.8742 | 19.8 |
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+ | 5.9073 | 18.4 | 46 | 5.8384 | 19.8 |
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+ | 5.8716 | 19.2 | 48 | 5.8049 | 19.8 |
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+ | 5.8391 | 20.0 | 50 | 5.7745 | 19.8 |
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+ | 5.8095 | 20.8 | 52 | 5.7473 | 19.8 |
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+ | 5.7823 | 21.6 | 54 | 5.7224 | 19.8 |
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+ | 5.7583 | 22.4 | 56 | 5.7002 | 19.8 |
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+ | 5.7369 | 23.2 | 58 | 5.6811 | 19.8 |
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+ | 5.7185 | 24.0 | 60 | 5.6649 | 19.8 |
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+ | 5.7031 | 24.8 | 62 | 5.6513 | 19.8 |
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+ | 5.6902 | 25.6 | 64 | 5.6405 | 19.8 |
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+ | 5.6802 | 26.4 | 66 | 5.6326 | 19.8 |
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+ | 5.6733 | 27.2 | 68 | 5.6276 | 19.8 |
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+ | 5.6688 | 28.0 | 70 | 5.6255 | 19.8 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.2
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+ - Tokenizers 0.19.1
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+ "transformers_version": "4.44.2"
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