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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: xlm-roberta-base
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - wmt20_mlqe_task1
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+ model-index:
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+ - name: xlmr-wmt20qe1-et-en-train_shuffled-1986-test2000
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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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+ # xlmr-wmt20qe1-et-en-train_shuffled-1986-test2000
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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 the wmt20_mlqe_task1 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5172
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+ - R Squared: 0.3115
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+ - Mae: 0.5282
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+ - Pearson R: 0.6791
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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: 16
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+ - seed: 1986
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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: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | R Squared | Mae | Pearson R |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---------:|
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+ | No log | 1.0 | 375 | 0.5029 | 0.3306 | 0.5891 | 0.6394 |
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+ | 0.7331 | 2.0 | 750 | 0.4183 | 0.4432 | 0.4958 | 0.6849 |
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+ | 0.5087 | 3.0 | 1125 | 0.5172 | 0.3115 | 0.5282 | 0.6791 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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