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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-one-entrance-dungeons-20
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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-one-entrance-dungeons-20
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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: 0.0115
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+ - Wer Score: 0.2812
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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: 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: 20
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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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+ | 0.0112 | 0.6061 | 10 | 0.0108 | 0.2812 |
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+ | 0.0094 | 1.2121 | 20 | 0.0105 | 0.25 |
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+ | 0.0109 | 1.8182 | 30 | 0.0114 | 0.2656 |
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+ | 0.0112 | 2.4242 | 40 | 0.0103 | 0.25 |
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+ | 0.0114 | 3.0303 | 50 | 0.0108 | 0.2812 |
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+ | 0.0107 | 3.6364 | 60 | 0.0113 | 0.2812 |
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+ | 0.0119 | 4.2424 | 70 | 0.0108 | 0.2344 |
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+ | 0.0121 | 4.8485 | 80 | 0.0106 | 0.2344 |
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+ | 0.0115 | 5.4545 | 90 | 0.0112 | 0.25 |
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+ | 0.0126 | 6.0606 | 100 | 0.0107 | 0.25 |
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+ | 0.0118 | 6.6667 | 110 | 0.0119 | 0.25 |
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+ | 0.0116 | 7.2727 | 120 | 0.0105 | 0.2188 |
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+ | 0.0122 | 7.8788 | 130 | 0.0105 | 0.2656 |
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+ | 0.0103 | 8.4848 | 140 | 0.0109 | 0.2812 |
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+ | 0.0102 | 9.0909 | 150 | 0.0107 | 0.25 |
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+ | 0.0099 | 9.6970 | 160 | 0.0118 | 0.25 |
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+ | 0.0091 | 10.3030 | 170 | 0.0113 | 0.2656 |
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+ | 0.0095 | 10.9091 | 180 | 0.0109 | 0.2656 |
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+ | 0.0093 | 11.5152 | 190 | 0.0114 | 0.25 |
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+ | 0.0088 | 12.1212 | 200 | 0.0119 | 0.2812 |
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+ | 0.0091 | 12.7273 | 210 | 0.0123 | 0.2812 |
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+ | 0.009 | 13.3333 | 220 | 0.0119 | 0.2969 |
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+ | 0.0092 | 13.9394 | 230 | 0.0112 | 0.25 |
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+ | 0.0084 | 14.5455 | 240 | 0.0116 | 0.2812 |
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+ | 0.009 | 15.1515 | 250 | 0.0118 | 0.2969 |
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+ | 0.0077 | 15.7576 | 260 | 0.0120 | 0.2656 |
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+ | 0.008 | 16.3636 | 270 | 0.0116 | 0.2344 |
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+ | 0.0079 | 16.9697 | 280 | 0.0115 | 0.2812 |
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+ | 0.0077 | 17.5758 | 290 | 0.0115 | 0.2812 |
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+ | 0.0079 | 18.1818 | 300 | 0.0116 | 0.2812 |
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+ | 0.0084 | 18.7879 | 310 | 0.0115 | 0.2812 |
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+ | 0.0085 | 19.3939 | 320 | 0.0115 | 0.2812 |
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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 3.0.1
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+ - Tokenizers 0.19.1
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+ "_from_model_config": true,
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+ "transformers_version": "4.44.2"
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