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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: babylm-unablated_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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+ # babylm-unablated_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: 3.0130
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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: 0.001
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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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+ | 6.173 | 0.9997 | 1802 | 4.2465 | 0.3068 |
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+ | 4.0432 | 2.0 | 3605 | 3.7284 | 0.3475 |
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+ | 3.6166 | 2.9997 | 5407 | 3.4711 | 0.3707 |
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+ | 3.3909 | 4.0 | 7210 | 3.3322 | 0.3836 |
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+ | 3.2635 | 4.9997 | 9012 | 3.2560 | 0.3913 |
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+ | 3.1946 | 6.0 | 10815 | 3.2042 | 0.3959 |
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+ | 3.1312 | 6.9997 | 12617 | 3.1730 | 0.3994 |
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+ | 3.0872 | 8.0 | 14420 | 3.1528 | 0.4014 |
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+ | 3.0554 | 8.9997 | 16222 | 3.1347 | 0.4037 |
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+ | 3.0338 | 10.0 | 18025 | 3.1247 | 0.4043 |
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+ | 2.9873 | 10.9997 | 19827 | 3.1119 | 0.4059 |
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+ | 2.9773 | 12.0 | 21630 | 3.1093 | 0.4065 |
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+ | 2.9714 | 12.9997 | 23432 | 3.1020 | 0.4077 |
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+ | 2.9667 | 14.0 | 25235 | 3.0977 | 0.4077 |
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+ | 2.9621 | 14.9997 | 27037 | 3.0944 | 0.4085 |
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+ | 2.9239 | 16.0 | 28840 | 3.0954 | 0.4082 |
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+ | 2.9295 | 16.9997 | 30642 | 3.0936 | 0.4085 |
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+ | 2.9329 | 18.0 | 32445 | 3.0771 | 0.4106 |
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+ | 2.8605 | 18.9997 | 34247 | 3.0338 | 0.4164 |
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+ | 2.7104 | 19.9945 | 36040 | 3.0130 | 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 2.19.1
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+ - Tokenizers 0.20.0
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