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Suramya/Newmsd

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: somosnlp-hackathon-2022/twitter_sexismo-finetuned-robertuito-exist2021
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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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+ model-index:
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+ - name: NewSpanishFinetunedtrainepoch10
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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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+ # NewSpanishFinetunedtrainepoch10
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+
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+ This model is a fine-tuned version of [somosnlp-hackathon-2022/twitter_sexismo-finetuned-robertuito-exist2021](https://huggingface.co/somosnlp-hackathon-2022/twitter_sexismo-finetuned-robertuito-exist2021) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9422
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+ - Accuracy: 0.7818
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+ - F1: 0.7723
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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: 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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 390 | 2.2975 | 0.75 | 0.7280 |
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+ | 0.0373 | 2.0 | 780 | 1.6730 | 0.7645 | 0.7570 |
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+ | 0.0227 | 3.0 | 1170 | 1.6890 | 0.7688 | 0.7536 |
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+ | 0.0303 | 4.0 | 1560 | 1.6623 | 0.7659 | 0.7573 |
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+ | 0.0303 | 5.0 | 1950 | 1.4957 | 0.7717 | 0.7588 |
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+ | 0.0133 | 6.0 | 2340 | 1.8339 | 0.7731 | 0.7627 |
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+ | 0.0086 | 7.0 | 2730 | 1.9297 | 0.7717 | 0.7651 |
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+ | 0.0031 | 8.0 | 3120 | 1.8540 | 0.7775 | 0.7677 |
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+ | 0.0021 | 9.0 | 3510 | 1.9277 | 0.7803 | 0.7704 |
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+ | 0.0021 | 10.0 | 3900 | 1.9422 | 0.7818 | 0.7723 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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