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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: strict_balanced_cf_seed-21_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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+ # strict_balanced_cf_seed-21_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: 3.1894
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+ - Accuracy: 0.4008
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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: 21
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 256
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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+ | 5.9825 | 0.9998 | 1486 | 4.4171 | 0.2926 |
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+ | 4.3054 | 1.9997 | 2972 | 3.9050 | 0.3329 |
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+ | 3.6755 | 2.9997 | 4458 | 3.6276 | 0.3573 |
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+ | 3.4878 | 3.9996 | 5944 | 3.4715 | 0.3714 |
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+ | 3.2604 | 4.9995 | 7430 | 3.3707 | 0.3811 |
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+ | 3.1894 | 5.9994 | 8916 | 3.3120 | 0.3864 |
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+ | 3.0822 | 6.9993 | 10402 | 3.2720 | 0.3903 |
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+ | 3.0424 | 7.9999 | 11889 | 3.2489 | 0.3915 |
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+ | 2.9835 | 8.9998 | 13375 | 3.2300 | 0.3943 |
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+ | 2.9586 | 9.9997 | 14861 | 3.2202 | 0.3957 |
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+ | 2.9205 | 10.9997 | 16347 | 3.2069 | 0.3972 |
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+ | 2.901 | 11.9996 | 17833 | 3.2097 | 0.3975 |
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+ | 2.8789 | 12.9995 | 19319 | 3.1967 | 0.3987 |
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+ | 2.8594 | 13.9994 | 20805 | 3.1981 | 0.3986 |
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+ | 2.8502 | 14.9993 | 22291 | 3.1954 | 0.3996 |
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+ | 2.8349 | 15.9999 | 23778 | 3.1954 | 0.3996 |
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+ | 2.8319 | 16.9998 | 25264 | 3.1878 | 0.4001 |
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+ | 2.8127 | 17.9997 | 26750 | 3.1866 | 0.4005 |
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+ | 2.8195 | 18.9997 | 28236 | 3.1900 | 0.4002 |
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+ | 2.7995 | 19.9982 | 29720 | 3.1894 | 0.4008 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.2
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.20.0
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