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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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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: opt-babylm2-rewritten-clean-spacy-32k-earlystop-40epochs_seed-42_3e-4
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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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+ # opt-babylm2-rewritten-clean-spacy-32k-earlystop-40epochs_seed-42_3e-4
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.9928
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+ - Accuracy: 0.4207
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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: 0.0003
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+ - train_batch_size: 32
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 256
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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_steps: 32000
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+ - num_epochs: 40.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-------:|:-----:|:---------------:|:--------:|
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+ | 6.8783 | 0.9996 | 1931 | 4.4654 | 0.2891 |
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+ | 4.2263 | 1.9997 | 3863 | 3.9179 | 0.3337 |
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+ | 3.7724 | 2.9999 | 5795 | 3.6397 | 0.3562 |
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+ | 3.5091 | 4.0 | 7727 | 3.4569 | 0.3724 |
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+ | 3.3306 | 4.9996 | 9658 | 3.3310 | 0.3838 |
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+ | 3.2012 | 5.9997 | 11590 | 3.2469 | 0.3918 |
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+ | 3.1088 | 6.9999 | 13522 | 3.1828 | 0.3982 |
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+ | 3.0364 | 8.0 | 15454 | 3.1404 | 0.4023 |
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+ | 2.9837 | 8.9996 | 17385 | 3.1080 | 0.4057 |
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+ | 2.9377 | 9.9997 | 19317 | 3.0840 | 0.4077 |
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+ | 2.9019 | 10.9999 | 21249 | 3.0633 | 0.4101 |
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+ | 2.8713 | 12.0 | 23181 | 3.0505 | 0.4117 |
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+ | 2.8449 | 12.9996 | 25112 | 3.0376 | 0.4130 |
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+ | 2.8231 | 13.9997 | 27044 | 3.0270 | 0.4143 |
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+ | 2.7828 | 14.9999 | 28976 | 3.0222 | 0.4150 |
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+ | 2.7644 | 16.0 | 30908 | 3.0160 | 0.4156 |
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+ | 2.7508 | 16.9996 | 32839 | 3.0100 | 0.4167 |
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+ | 2.7296 | 17.9997 | 34771 | 3.0023 | 0.4178 |
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+ | 2.7053 | 18.9999 | 36703 | 2.9967 | 0.4188 |
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+ | 2.6821 | 20.0 | 38635 | 2.9926 | 0.4195 |
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+ | 2.6601 | 20.9996 | 40566 | 2.9892 | 0.4202 |
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+ | 2.6406 | 21.9997 | 42498 | 2.9898 | 0.4204 |
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+ | 2.621 | 22.9999 | 44430 | 2.9921 | 0.4205 |
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+ | 2.6048 | 24.0 | 46362 | 2.9928 | 0.4207 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.1
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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