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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-clean-spacy-32k-earlystop_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-clean-spacy-32k-earlystop_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: 2.9103
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+ - Accuracy: 0.4305
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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: 20.0
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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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+ | 5.9107 | 0.9995 | 1942 | 3.9887 | 0.3269 |
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+ | 3.7896 | 1.9996 | 3885 | 3.5236 | 0.3657 |
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+ | 3.3813 | 2.9997 | 5828 | 3.3040 | 0.3859 |
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+ | 3.174 | 3.9997 | 7771 | 3.1921 | 0.3962 |
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+ | 3.0533 | 4.9998 | 9714 | 3.1266 | 0.4026 |
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+ | 2.9768 | 5.9999 | 11657 | 3.0838 | 0.4071 |
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+ | 2.9232 | 6.9999 | 13600 | 3.0550 | 0.4101 |
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+ | 2.8863 | 8.0 | 15543 | 3.0363 | 0.4122 |
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+ | 2.8563 | 8.9995 | 17485 | 3.0208 | 0.4139 |
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+ | 2.8356 | 9.9996 | 19428 | 3.0117 | 0.4151 |
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+ | 2.816 | 10.9997 | 21371 | 3.0030 | 0.4162 |
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+ | 2.8069 | 11.9997 | 23314 | 2.9951 | 0.4170 |
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+ | 2.7941 | 12.9998 | 25257 | 2.9923 | 0.4175 |
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+ | 2.7889 | 13.9999 | 27200 | 2.9888 | 0.4182 |
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+ | 2.7802 | 14.9999 | 29143 | 2.9839 | 0.4186 |
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+ | 2.7802 | 16.0 | 31086 | 2.9821 | 0.4190 |
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+ | 2.7665 | 16.9995 | 33028 | 2.9626 | 0.4212 |
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+ | 2.6908 | 17.9996 | 34971 | 2.9378 | 0.4247 |
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+ | 2.6058 | 18.9997 | 36914 | 2.9145 | 0.4284 |
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+ | 2.505 | 19.9910 | 38840 | 2.9103 | 0.4305 |
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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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