End of training
Browse files- README.md +66 -0
- pytorch_model.bin +1 -1
README.md
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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-en-zh-no_shuffled-orig-test1000
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results: []
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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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# xlmr-en-zh-no_shuffled-orig-test1000
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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: 0.5862
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- R Squared: -0.1664
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- Mae: 0.5991
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- Pearson R: 0.4148
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 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: 5
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### Training results
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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 | 438 | 0.4458 | 0.1130 | 0.5377 | 0.3977 |
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| 0.7823 | 2.0 | 876 | 0.4252 | 0.1539 | 0.5123 | 0.4517 |
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| 0.6317 | 3.0 | 1314 | 0.4948 | 0.0155 | 0.5423 | 0.4304 |
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| 0.4449 | 4.0 | 1752 | 0.5149 | -0.0245 | 0.5577 | 0.4247 |
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| 0.3139 | 5.0 | 2190 | 0.5862 | -0.1664 | 0.5991 | 0.4148 |
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### Framework versions
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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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 1112246641
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version https://git-lfs.github.com/spec/v1
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size 1112246641
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