End of training

README.md

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+---
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+datasets:
+- wmt20_mlqe_task1
+model-index:
+- name: xlmr-ne-en-train_shuffled-1986-test2000
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# xlmr-ne-en-train_shuffled-1986-test2000
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the wmt20_mlqe_task1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5106
+- R Squared: 0.2714
+- Mae: 0.5502
+- Pearson R: 0.6939
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 1986
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | R Squared | Mae    | Pearson R |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---------:|
+| No log        | 1.0   | 375  | 0.4648          | 0.3368    | 0.5563 | 0.6413    |
+| 0.7538        | 2.0   | 750  | 0.3918          | 0.4409    | 0.4969 | 0.6785    |
+| 0.5265        | 3.0   | 1125 | 0.5106          | 0.2714    | 0.5502 | 0.6939    |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.6
+- Tokenizers 0.14.1