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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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model-index:
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- name: job-listing-filtering-model
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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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# job-listing-filtering-model
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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: 0.1992
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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: 25
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.4639 | 1.55 | 50 | 0.4343 |
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| 0.407 | 3.12 | 100 | 0.3589 |
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| 0.3459 | 4.68 | 150 | 0.3110 |
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| 0.2871 | 6.25 | 200 | 0.2604 |
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| 0.1966 | 7.8 | 250 | 0.2004 |
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| 0.0994 | 9.37 | 300 | 0.1766 |
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| 0.0961 | 10.92 | 350 | 0.2007 |
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| 0.0954 | 12.49 | 400 | 0.1716 |
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| 0.0498 | 14.06 | 450 | 0.1642 |
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| 0.0419 | 15.62 | 500 | 0.1811 |
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| 0.0232 | 17.18 | 550 | 0.1872 |
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| 0.0146 | 18.74 | 600 | 0.1789 |
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| 0.0356 | 20.31 | 650 | 0.1984 |
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| 0.0325 | 21.86 | 700 | 0.1845 |
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| 0.0381 | 23.43 | 750 | 0.1994 |
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| 0.0063 | 24.98 | 800 | 0.1992 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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