Upload model

config.json

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+{
+  "_name_or_path": "godmode/nn/classifier/models/marco/microsoft--deberta-v2-xxlarge-mnli/checkpoint-2800",
+  "architectures": [
+    "DebertaV2Model"
+  ],
+  "attention_head_size": 64,
+  "attention_probs_dropout_prob": 0.1,
+  "conv_act": "gelu",
+  "conv_kernel_size": 3,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1536,
+  "id2label": {
+    "0": "CONTRADICTION",
+    "1": "NEUTRAL",
+    "2": "ENTAILMENT"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "label2id": {
+    "CONTRADICTION": 0,
+    "ENTAILMENT": 2,
+    "NEUTRAL": 1
+  },
+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 48,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 1536,
+  "pooling": {
+    "dropout": 0,
+    "hidden_act": "gelu"
+  },
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.31.0",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7229f9d773da54e0ff53735f731c124a9384057ad678fd561d5d1b7d6e404e95
+size 3129352757