CodeBERTa fine-tuned on CodeXGLUE defect detection (V1)
Browse files- config.json +36 -0
- model.safetensors +3 -0
config.json
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{
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"add_cross_attention": false,
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"dtype": "float32",
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "CLEAN",
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"1": "VULNERABLE"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": false,
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"label2id": {
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"CLEAN": 0,
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"VULNERABLE": 1
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 1,
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"tie_word_embeddings": true,
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"transformers_version": "5.0.0",
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"type_vocab_size": 1,
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"use_cache": false,
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"vocab_size": 52000
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d4b8eae17ce84c2f1a4da6daf9616e353efa71bdea8ef634ad952d65f9da900f
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size 333822184
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