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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: resume
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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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# resume
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0166
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- F1: 1.0
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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: 5e-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 | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 3.0448 | 1.0 | 49 | 2.7245 | 0.1290 |
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| 2.2276 | 2.0 | 98 | 1.7165 | 0.4683 |
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| 1.116 | 3.0 | 147 | 0.8720 | 0.8333 |
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| 0.5606 | 4.0 | 196 | 0.3686 | 1.0 |
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| 0.2374 | 5.0 | 245 | 0.1431 | 1.0 |
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| 0.1084 | 6.0 | 294 | 0.0612 | 1.0 |
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| 0.0598 | 7.0 | 343 | 0.0328 | 1.0 |
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| 0.0386 | 8.0 | 392 | 0.0216 | 1.0 |
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| 0.0276 | 9.0 | 441 | 0.0175 | 1.0 |
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| 0.0271 | 10.0 | 490 | 0.0166 | 1.0 |
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### Framework versions
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- Transformers 4.30.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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