Upload IITRobertaForSequenceClassification

config.json

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+{
+  "_name_or_path": "../proxy_training_results/RoBERTa-ks/cebab.alpha.1.0.beta.1.0.gemma.3.0.lr.8e-05.dim.192.hightype.roberta-base.CEBaB.cls.dropout.0.1.enc.dropout.0.1.counter.type.true.k.19684.int.layer.8.seed_42/",
+  "architectures": [
+    "IITRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.1,
+  "eos_token_id": 2,
+  "finetuning_task": "cebab",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "0",
+    "1": "1",
+    "2": "2",
+    "3": "3",
+    "4": "4"
+  },
+  "initializer_range": 0.02,
+  "interchange_hidden_layer": 8,
+  "intermediate_size": 3072,
+  "intervention_h_dim": 192,
+  "label2id": {
+    "0": 0,
+    "1": 1,
+    "2": 2,
+    "3": 3,
+    "4": 4
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.22.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3138f34166ce68cc831ec27271e7218da2f0f8d6f25251769cbf3a6525252e17
+size 498818533