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lorenzoscottb/SkLIP-masked

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: SkLIP-masked
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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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+ # SkLIP-masked
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+
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+ This model was trained from scratch on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.1240
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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: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.01
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+ - num_epochs: 10
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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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+ | 4.2018 | 1.0 | 57 | 4.1344 |
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+ | 4.1697 | 2.0 | 114 | 4.1298 |
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+ | 4.1668 | 3.0 | 171 | 4.1276 |
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+ | 4.164 | 4.0 | 228 | 4.1263 |
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+ | 4.158 | 5.0 | 285 | 4.1253 |
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+ | 4.1583 | 6.0 | 342 | 4.1246 |
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+ | 4.1569 | 7.0 | 399 | 4.1243 |
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+ | 4.1575 | 8.0 | 456 | 4.1241 |
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+ | 4.1564 | 9.0 | 513 | 4.1240 |
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+ | 4.1604 | 10.0 | 570 | 4.1240 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.1
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