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End of training

Browse files
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+ ---
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+ license: mit
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+ base_model: reecursion/xlm-roberta-base-inspiration
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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: xlm-roberta-base-annotated-uk-inspiration
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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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+ # xlm-roberta-base-annotated-uk-inspiration
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+
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+ This model is a fine-tuned version of [reecursion/xlm-roberta-base-inspiration](https://huggingface.co/reecursion/xlm-roberta-base-inspiration) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4011
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+ - Accuracy: 0.75
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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: 8
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+ - eval_batch_size: 8
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 5
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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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+ | 0.8278 | 1.0 | 20 | 0.5257 | 0.85 |
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+ | 0.6352 | 2.0 | 40 | 0.4235 | 0.8 |
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+ | 0.4402 | 3.0 | 60 | 0.3603 | 0.85 |
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+ | 0.2762 | 4.0 | 80 | 0.3775 | 0.75 |
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+ | 0.2643 | 5.0 | 100 | 0.4011 | 0.75 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.1
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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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