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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-relevance-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-relevance-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: 0.0555
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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: 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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| 0.6791 | 0.43 | 50 | 0.4885 |
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| 0.2491 | 0.87 | 100 | 0.1554 |
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| 0.1067 | 1.3 | 150 | 0.1085 |
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| 0.1382 | 1.74 | 200 | 0.1509 |
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| 0.0575 | 2.17 | 250 | 0.1194 |
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| 0.0386 | 2.61 | 300 | 0.0973 |
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| 0.1782 | 3.04 | 350 | 0.1145 |
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| 0.0458 | 3.48 | 400 | 0.0852 |
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| 0.0043 | 3.91 | 450 | 0.0878 |
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| 0.0374 | 4.35 | 500 | 0.0673 |
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| 0.09 | 4.78 | 550 | 0.0483 |
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| 0.0017 | 5.22 | 600 | 0.0978 |
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| 0.0025 | 5.65 | 650 | 0.0792 |
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| 0.0138 | 6.09 | 700 | 0.0358 |
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| 0.0716 | 6.52 | 750 | 0.0463 |
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| 0.0391 | 6.95 | 800 | 0.1162 |
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| 0.0164 | 7.39 | 850 | 0.0509 |
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| 0.0359 | 7.82 | 900 | 0.0757 |
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| 0.0012 | 8.26 | 950 | 0.0337 |
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| 0.0008 | 8.69 | 1000 | 0.0585 |
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| 0.0007 | 9.13 | 1050 | 0.0655 |
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| 0.0609 | 9.56 | 1100 | 0.0481 |
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| 0.0007 | 10.0 | 1150 | 0.0555 |
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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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