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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: test_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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+ # test_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: 3.0025
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+ - Accuracy: 0.4223
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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: 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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+ | 6.1409 | 1.0 | 1824 | 4.2361 | 0.3072 |
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+ | 4.0561 | 2.0 | 3648 | 3.7116 | 0.3490 |
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+ | 3.6138 | 3.0 | 5472 | 3.4533 | 0.3723 |
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+ | 3.3863 | 4.0 | 7296 | 3.3195 | 0.3850 |
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+ | 3.2557 | 5.0 | 9120 | 3.2404 | 0.3930 |
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+ | 3.188 | 6.0 | 10944 | 3.1924 | 0.3973 |
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+ | 3.1185 | 7.0 | 12768 | 3.1594 | 0.4009 |
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+ | 3.0753 | 8.0 | 14592 | 3.1404 | 0.4029 |
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+ | 3.047 | 9.0 | 16416 | 3.1230 | 0.4046 |
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+ | 3.0232 | 10.0 | 18240 | 3.1120 | 0.4060 |
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+ | 3.008 | 11.0 | 20064 | 3.1057 | 0.4074 |
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+ | 2.9609 | 12.0 | 21888 | 3.1000 | 0.4079 |
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+ | 2.954 | 13.0 | 23712 | 3.0922 | 0.4087 |
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+ | 2.953 | 14.0 | 25536 | 3.0897 | 0.4089 |
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+ | 2.952 | 15.0 | 27360 | 3.0875 | 0.4093 |
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+ | 2.9527 | 16.0 | 29184 | 3.0876 | 0.4098 |
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+ | 2.9549 | 17.0 | 31008 | 3.0856 | 0.4099 |
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+ | 2.9073 | 18.0 | 32832 | 3.0625 | 0.4127 |
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+ | 2.8458 | 19.0 | 34656 | 3.0216 | 0.4183 |
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+ | 2.7073 | 19.9894 | 36460 | 3.0025 | 0.4223 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.0
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.1
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