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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: FacebookAI/roberta-base
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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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+ - f1
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+ - precision
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+ - recall
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+ model-index:
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+ - name: uniBERT.RoBERTa.1
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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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+ # uniBERT.RoBERTa.1
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+
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+ This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5672
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+ - Accuracy: (0.5442359249329759,)
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+ - F1: (0.5475073377350592,)
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+ - Precision: (0.5667013774255618,)
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+ - Recall: 0.5442
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 64
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+ - seed: 42
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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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+ - num_epochs: 10
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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 | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:----------------------:|:----------------------:|:----------------------:|:------:|
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+ | 3.2351 | 1.0 | 163 | 2.9595 | (0.13136729222520108,) | (0.08462626197008986,) | (0.15744495937224648,) | 0.1314 |
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+ | 2.6973 | 2.0 | 326 | 2.3531 | (0.2770330652368186,) | (0.24847446131015896,) | (0.3687711586389575,) | 0.2770 |
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+ | 2.149 | 3.0 | 489 | 1.9958 | (0.37980339588918677,) | (0.375810644629823,) | (0.46219745175706833,) | 0.3798 |
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+ | 1.7 | 4.0 | 652 | 1.8677 | (0.40303842716711347,) | (0.40227689144186507,) | (0.4955990588890976,) | 0.4030 |
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+ | 1.4386 | 5.0 | 815 | 1.7207 | (0.4709562109025916,) | (0.47394753337956536,) | (0.5204593065553081,) | 0.4710 |
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+ | 1.1631 | 6.0 | 978 | 1.6443 | (0.49955317247542447,) | (0.5021533796342853,) | (0.532760172396733,) | 0.4996 |
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+ | 1.0801 | 7.0 | 1141 | 1.6049 | (0.5192135835567471,) | (0.5209002930812098,) | (0.5501889941115035,) | 0.5192 |
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+ | 0.9166 | 8.0 | 1304 | 1.5975 | (0.5299374441465594,) | (0.5346686129926844,) | (0.5631677420777581,) | 0.5299 |
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+ | 0.7877 | 9.0 | 1467 | 1.5711 | (0.5397676496872207,) | (0.5438919405653636,) | (0.5628843016520076,) | 0.5398 |
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+ | 0.8112 | 10.0 | 1630 | 1.5672 | (0.5442359249329759,) | (0.5475073377350592,) | (0.5667013774255618,) | 0.5442 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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