MoonstoneF commited on
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Trained on 6291 without hyperparameter tuning

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: microsoft/kosmos-2-patch14-224
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: kosm-checkpoint
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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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+ # kosm-checkpoint
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+
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+ This model is a fine-tuned version of [microsoft/kosmos-2-patch14-224](https://huggingface.co/microsoft/kosmos-2-patch14-224) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0715
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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: 1e-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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+ - training_steps: 1000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 0.0711 | 0.0908 | 100 | 0.1326 |
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+ | 0.1093 | 0.1817 | 200 | 0.0949 |
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+ | 0.0946 | 0.2725 | 300 | 0.0908 |
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+ | 0.0907 | 0.3633 | 400 | 0.0848 |
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+ | 0.0829 | 0.4541 | 500 | 0.0812 |
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+ | 0.082 | 0.5450 | 600 | 0.0771 |
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+ | 0.0792 | 0.6358 | 700 | 0.0759 |
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+ | 0.0773 | 0.7266 | 800 | 0.0737 |
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+ | 0.0736 | 0.8174 | 900 | 0.0723 |
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+ | 0.0753 | 0.9083 | 1000 | 0.0715 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.19.1
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:96eb1da4bccf34c021e586af8926c3717978f94b043f4411bd4a731304793434
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+ size 5048