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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_1e-3
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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_1e-3
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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: 2.9601
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+ - Accuracy: 0.4245
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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: 0.001
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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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+ | 5.9216 | 0.9996 | 1931 | 4.0134 | 0.3253 |
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+ | 3.7977 | 1.9997 | 3863 | 3.5448 | 0.3639 |
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+ | 3.3887 | 2.9999 | 5795 | 3.3242 | 0.3841 |
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+ | 3.1805 | 4.0 | 7727 | 3.2082 | 0.3949 |
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+ | 3.0632 | 4.9996 | 9658 | 3.1432 | 0.4012 |
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+ | 2.9865 | 5.9997 | 11590 | 3.1010 | 0.4056 |
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+ | 2.9347 | 6.9999 | 13522 | 3.0715 | 0.4087 |
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+ | 2.8953 | 8.0 | 15454 | 3.0539 | 0.4108 |
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+ | 2.8689 | 8.9996 | 17385 | 3.0392 | 0.4122 |
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+ | 2.8456 | 9.9997 | 19317 | 3.0310 | 0.4134 |
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+ | 2.8298 | 10.9999 | 21249 | 3.0251 | 0.4144 |
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+ | 2.817 | 12.0 | 23181 | 3.0175 | 0.4152 |
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+ | 2.8069 | 12.9996 | 25112 | 3.0119 | 0.4158 |
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+ | 2.7996 | 13.9997 | 27044 | 3.0060 | 0.4163 |
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+ | 2.7615 | 14.9999 | 28976 | 3.0038 | 0.4171 |
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+ | 2.7575 | 16.0 | 30908 | 3.0022 | 0.4169 |
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+ | 2.7573 | 16.9996 | 32839 | 2.9962 | 0.4179 |
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+ | 2.7451 | 17.9997 | 34771 | 2.9867 | 0.4189 |
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+ | 2.7275 | 18.9999 | 36703 | 2.9804 | 0.4201 |
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+ | 2.7099 | 20.0 | 38635 | 2.9760 | 0.4208 |
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+ | 2.693 | 20.9996 | 40566 | 2.9683 | 0.4216 |
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+ | 2.6785 | 21.9997 | 42498 | 2.9666 | 0.4221 |
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+ | 2.6628 | 22.9999 | 44430 | 2.9646 | 0.4227 |
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+ | 2.6501 | 24.0 | 46362 | 2.9626 | 0.4228 |
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+ | 2.6343 | 24.9996 | 48293 | 2.9600 | 0.4233 |
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+ | 2.6198 | 25.9997 | 50225 | 2.9638 | 0.4236 |
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+ | 2.604 | 26.9999 | 52157 | 2.9604 | 0.4240 |
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+ | 2.5876 | 28.0 | 54089 | 2.9601 | 0.4245 |
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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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