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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-20-epochs-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-20-epochs-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: 2.7611
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+ - Accuracy: 0.4673
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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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+ | 4.24 | 0.9998 | 2198 | 3.9528 | 0.3447 |
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+ | 3.5581 | 2.0 | 4397 | 3.4120 | 0.3948 |
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+ | 3.2191 | 2.9998 | 6595 | 3.1806 | 0.4180 |
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+ | 3.0495 | 4.0 | 8794 | 3.0720 | 0.4287 |
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+ | 2.9458 | 4.9998 | 10992 | 3.0054 | 0.4354 |
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+ | 2.8669 | 6.0 | 13191 | 2.9663 | 0.4399 |
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+ | 2.8256 | 6.9998 | 15389 | 2.9382 | 0.4430 |
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+ | 2.79 | 8.0 | 17588 | 2.9199 | 0.4452 |
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+ | 2.7624 | 8.9998 | 19786 | 2.9052 | 0.4468 |
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+ | 2.7361 | 10.0 | 21985 | 2.8915 | 0.4482 |
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+ | 2.7354 | 10.9998 | 24183 | 2.8843 | 0.4491 |
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+ | 2.7225 | 12.0 | 26382 | 2.8777 | 0.4500 |
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+ | 2.7092 | 12.9998 | 28580 | 2.8708 | 0.4505 |
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+ | 2.6987 | 14.0 | 30779 | 2.8688 | 0.4509 |
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+ | 2.6894 | 14.9998 | 32977 | 2.8542 | 0.4527 |
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+ | 2.6561 | 16.0 | 35176 | 2.8258 | 0.4564 |
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+ | 2.6055 | 16.9998 | 37374 | 2.8005 | 0.4595 |
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+ | 2.5464 | 18.0 | 39573 | 2.7814 | 0.4627 |
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+ | 2.4778 | 18.9998 | 41771 | 2.7630 | 0.4658 |
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+ | 2.4036 | 19.9955 | 43960 | 2.7611 | 0.4673 |
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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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