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End of training

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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: xlm-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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+ model-index:
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+ - name: output_fp16
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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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+ # output_fp16
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+
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4230
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+ - Accuracy: 0.8382
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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: 0.0003
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+ - train_batch_size: 32
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+ - eval_batch_size: 8
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+ - seed: 42
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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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+ - num_epochs: 15
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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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+ | 0.5485 | 1.0 | 12272 | 0.4865 | 0.8100 |
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+ | 0.4989 | 2.0 | 24544 | 0.4720 | 0.8193 |
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+ | 0.4743 | 3.0 | 36816 | 0.5417 | 0.7859 |
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+ | 0.4762 | 4.0 | 49088 | 0.4359 | 0.8313 |
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+ | 0.4525 | 5.0 | 61360 | 0.4297 | 0.8365 |
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+ | 0.4457 | 6.0 | 73632 | 0.4273 | 0.8398 |
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+ | 0.4205 | 7.0 | 85904 | 0.4343 | 0.8321 |
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+ | 0.4315 | 8.0 | 98176 | 0.4287 | 0.8357 |
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+ | 0.4271 | 9.0 | 110448 | 0.4299 | 0.8394 |
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+ | 0.4031 | 10.0 | 122720 | 0.4250 | 0.8353 |
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+ | 0.4 | 11.0 | 134992 | 0.4401 | 0.8345 |
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+ | 0.3899 | 12.0 | 147264 | 0.4178 | 0.8418 |
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+ | 0.3921 | 13.0 | 159536 | 0.4313 | 0.8386 |
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+ | 0.3849 | 14.0 | 171808 | 0.4212 | 0.8378 |
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+ | 0.3777 | 15.0 | 184080 | 0.4230 | 0.8382 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.53.2
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 2.18.0
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+ - Tokenizers 0.21.2
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