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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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base_model: xlm-roberta-base |
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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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