fabiancpl commited on
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753092c
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Pushing model, tokenizer and model card

Browse files
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ language:
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+ - en
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+ metrics:
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+ - f1
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+ - precision
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+ - recall
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+ base_model:
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+ - bert-large-cased
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+ pipeline_tag: text-classification
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+ ---
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+
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+ # BERT large for classifying code comments (multi-label)
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+
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+ This model classifies comments in Python code as 'usage', 'parameters', 'developmentNotes', 'expand' or 'summary'.
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+
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+ - **Developed by:** Fabian C. Peña, Steffen Herbold
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+ - **Finetuned from:** [bert-large-cased](https://huggingface.co/bert-large-cased)
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+ - **Replication kit:** [https://github.com/aieng-lab/senlp-benchmark](https://github.com/aieng-lab/senlp-benchmark)
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+ - **Language:** English
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+ - **License:** MIT
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+
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+ ## Citation
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+
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+ ```
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+ @misc{pena2025benchmark,
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+ author = {Fabian Peña and Steffen Herbold},
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+ title = {Evaluating Large Language Models on Non-Code Software Engineering Tasks},
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+ year = {2025}
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+ }
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "bert-large-cased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "directionality": "bidi",
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3",
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+ "4": "LABEL_4"
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "pad_token_id": 0,
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+ "pooler_fc_size": 768,
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+ "pooler_num_attention_heads": 12,
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+ "pooler_num_fc_layers": 3,
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+ "pooler_size_per_head": 128,
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+ "pooler_type": "first_token_transform",
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+ "position_embedding_type": "absolute",
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+ "problem_type": "multi_label_classification",
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.48.3",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 28996
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+ }
model.safetensors ADDED
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+ size 667215914
special_tokens_map.json ADDED
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+ {
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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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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "tokenize_chinese_chars": true,
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+ "tokenizer_class": "BertTokenizer",
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+ }
vocab.txt ADDED
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