Text Classification
PEFT
Safetensors
English
bert
ci-cd
github-actions
lora
xai
explainable-ai
software-engineering
Eval Results (legacy)
Instructions to use MaryAngel/AdaptCI-XAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MaryAngel/AdaptCI-XAI with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 1,014 Bytes
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"add_cross_attention": false,
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": null,
"classifier_dropout": null,
"dtype": "float32",
"eos_token_id": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "config_error",
"1": "dependency_failure",
"2": "test_failure",
"3": "infrastructure"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": false,
"label2id": {
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"dependency_failure": 1,
"infrastructure": 3,
"test_failure": 2
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"tie_word_embeddings": true,
"transformers_version": "5.0.0",
"type_vocab_size": 2,
"use_cache": false,
"vocab_size": 30522
}
|