End of training
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README.md
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---
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license: mit
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base_model: xlm-roberta-large
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tags:
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- generated_from_trainer
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model-index:
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- name: xlmrlarge-webis
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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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# xlmrlarge-webis
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This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.6078
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 200 | 2.7023 |
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| No log | 2.0 | 400 | 2.5847 |
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| 2.5797 | 3.0 | 600 | 2.7460 |
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| 2.5797 | 4.0 | 800 | 3.3822 |
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| 0.8578 | 5.0 | 1000 | 3.8268 |
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| 0.8578 | 6.0 | 1200 | 4.4783 |
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| 0.8578 | 7.0 | 1400 | 5.0087 |
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| 0.2619 | 8.0 | 1600 | 5.5192 |
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| 0.2619 | 9.0 | 1800 | 5.5585 |
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| 0.1092 | 10.0 | 2000 | 5.6078 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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runs/Nov05_04-27-00_8e1a09f57acd/events.out.tfevents.1699158421.8e1a09f57acd.3982.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 7938
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