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Browse files- README.md +46 -0
- config.json +12 -0
- norm_stats.json +14 -0
- pytorch_model.bin +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +23 -0
README.md
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---
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language: en
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tags:
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- job-classification
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- salary-prediction
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- experience-prediction
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- deberta
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---
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# JobPredictor1
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Fine-tuned DeBERTa-v3-small model that predicts:
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- **Expected years of experience** required for a job
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- **Lower salary bound** (USD)
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- **Upper salary bound** (USD)
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## Input Format
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```
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[TITLE]: <job title> [DESC]: <job description>
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```
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## Outputs
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| Output | Type | Description |
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|---|---|---|
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| expected_experience_years | int | Years of experience required |
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| pay_lower | int | Lower salary bound (USD) |
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| pay_upper | int | Upper salary bound (USD) |
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## Normalization
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Predictions are z-score normalized. Use `norm_stats.json` to denormalize:
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```python
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real_value = pred * norm_stats[col]["std"] + norm_stats[col]["mean"]
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```
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## Test Set Performance
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| Metric | Value |
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|---|---|
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| Experience MAE | 0.57 years |
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| Experience Within 1yr | 83.1% |
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| Pay Lower MAE | $15,511 |
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| Pay Lower Within $20k | 84.5% |
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| Pay Upper MAE | $20,190 |
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| Pay Upper Within $20k | 76.0% |
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## Base Model
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microsoft/deberta-v3-small
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config.json
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{
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"base_model": "microsoft/deberta-v3-small",
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"architecture": "DeBERTa-v3-small + 3 regression heads",
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"outputs": {
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"expected_experience_years": "integer (years of experience)",
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"pay_lower": "integer (lower salary bound USD)",
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"pay_upper": "integer (upper salary bound USD)"
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},
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"normalization": "z-score \u2014 use norm_stats.json to denormalize predictions",
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"max_length": 512,
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"dropout": 0.1
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}
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norm_stats.json
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{
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"expected_experience_years": {
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"mean": 2.8786184883249994,
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"std": 2.7134313236051546
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},
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"pay_lower": {
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"mean": 70610.15046174698,
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"std": 54165.983999683085
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},
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"pay_upper": {
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"mean": 92701.26081987657,
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"std": 69885.4087522144
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6890fbfd124d723db5d6baa86f519647315593c19da65d5d832b981ff808e5a8
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size 567630955
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": true,
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"backend": "tokenizers",
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"extra_special_tokens": [
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"[PAD]",
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"[CLS]",
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"[SEP]"
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],
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"is_local": false,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"split_by_punct": false,
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"tokenizer_class": "DebertaV2Tokenizer",
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"unk_id": 3,
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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}
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