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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: distilbert-base-uncased
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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: distilbert-text-classifier
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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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+ # distilbert-text-classifier
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2758
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+ - Accuracy: 0.9174
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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: 5e-05
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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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+ - optimizer: Use 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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+ - num_epochs: 40
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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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+ | 0.3169 | 1.0 | 632 | 0.2758 | 0.9174 |
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+ | 0.1195 | 2.0 | 1264 | 0.2899 | 0.9218 |
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+ | 0.092 | 3.0 | 1896 | 0.3103 | 0.9274 |
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+ | 0.0951 | 4.0 | 2528 | 0.3161 | 0.9335 |
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+ | 0.0435 | 5.0 | 3160 | 0.3640 | 0.9336 |
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+ | 0.0294 | 6.0 | 3792 | 0.4195 | 0.9310 |
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+ | 0.0444 | 7.0 | 4424 | 0.4745 | 0.9286 |
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+ | 0.001 | 8.0 | 5056 | 0.4672 | 0.9355 |
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+ | 0.0577 | 9.0 | 5688 | 0.5112 | 0.9282 |
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+ | 0.0003 | 10.0 | 6320 | 0.4807 | 0.9362 |
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+ | 0.0135 | 11.0 | 6952 | 0.5246 | 0.9319 |
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+ | 0.0026 | 12.0 | 7584 | 0.5371 | 0.9345 |
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+ | 0.0012 | 13.0 | 8216 | 0.5445 | 0.9351 |
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+ | 0.0023 | 14.0 | 8848 | 0.5788 | 0.9335 |
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+ | 0.0006 | 15.0 | 9480 | 0.5707 | 0.9335 |
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+ | 0.0018 | 16.0 | 10112 | 0.5424 | 0.9375 |
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+ | 0.0034 | 17.0 | 10744 | 0.5418 | 0.9345 |
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+ | 0.0004 | 18.0 | 11376 | 0.5673 | 0.9389 |
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+ | 0.0001 | 19.0 | 12008 | 0.5738 | 0.9349 |
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+ | 0.01 | 20.0 | 12640 | 0.5651 | 0.9389 |
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+ | 0.0011 | 21.0 | 13272 | 0.6153 | 0.9339 |
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+ | 0.0224 | 22.0 | 13904 | 0.6216 | 0.9356 |
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+ | 0.0001 | 23.0 | 14536 | 0.5976 | 0.9353 |
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+ | 0.0417 | 24.0 | 15168 | 0.6134 | 0.9329 |
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+ | 0.0 | 25.0 | 15800 | 0.5920 | 0.9377 |
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+ | 0.0 | 26.0 | 16432 | 0.6247 | 0.9377 |
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+ | 0.0 | 27.0 | 17064 | 0.6435 | 0.9372 |
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+ | 0.0 | 28.0 | 17696 | 0.7084 | 0.9320 |
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+ | 0.0 | 29.0 | 18328 | 0.7095 | 0.9343 |
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+ | 0.0 | 30.0 | 18960 | 0.6708 | 0.9362 |
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+ | 0.0 | 31.0 | 19592 | 0.6704 | 0.9384 |
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+ | 0.0 | 32.0 | 20224 | 0.6665 | 0.9383 |
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+ | 0.0 | 33.0 | 20856 | 0.6910 | 0.9388 |
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+ | 0.0 | 34.0 | 21488 | 0.6861 | 0.9375 |
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+ | 0.0 | 35.0 | 22120 | 0.6714 | 0.9386 |
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+ | 0.0 | 36.0 | 22752 | 0.6914 | 0.9397 |
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+ | 0.0 | 37.0 | 23384 | 0.6756 | 0.9390 |
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+ | 0.0 | 38.0 | 24016 | 0.6780 | 0.9390 |
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+ | 0.0 | 39.0 | 24648 | 0.6751 | 0.9394 |
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+ | 0.0 | 40.0 | 25280 | 0.6756 | 0.9395 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.49.0
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+ - Pytorch 2.6.0+cu124
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+ - Tokenizers 0.21.0
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