Upload Persian Job Classifier model
Browse files- README.md +11 -0
- config.json +1 -0
- metadata.json +1 -0
- pytorch_job_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- vocab.txt +0 -0
README.md
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# Persian Job Title Classifier
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This model predicts ISCO codes for Persian job titles.
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## Model Details
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- **Language:** Persian (Farsi)
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- **Model Type:** Text classification
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- **Framework:** Hugging Face Transformers
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- **License:** MIT
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config.json
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{"hidden_activation": "ELU", "output_activation": "Softmax", "attention_dim": 128, "num_labels": 10, "loss_function": "CrossEntropyLoss", "optimizer": "AdamW", "learning_rate": 2e-05, "weight_decay": 0.01}
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metadata.json
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{"tags": ["persian", "job-classification", "ISCO"], "datasets": ["job_titles"], "model_name": "Persian Job Classifier", "language": "fa", "library_name": "transformers", "license": "mit", "widget": [{"text": "Your sample text here"}], "loss_function": "CrossEntropyLoss"}
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pytorch_job_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:311a2e1d6904242aa4059f7f7baa9a12167f9a82d41a69013ad33c7c931b1d23
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size 653563842
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"4": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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