End of training

.gitignore

@@ -0,0 +1 @@
+checkpoint-*/

config.json

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+{
+  "_name_or_path": "graph-classification-2",
+  "activation_dropout": 0.1,
+  "activation_fn": "gelu",
+  "apply_graphormer_init": true,
+  "architectures": [
+    "GraphormerForGraphClassification"
+  ],
+  "attention_dropout": 0.1,
+  "bias": true,
+  "bos_token_id": 1,
+  "dropout": 0.0,
+  "edge_type": "multi_hop",
+  "embed_scale": null,
+  "embedding_dim": 768,
+  "encoder_normalize_before": true,
+  "eos_token_id": 2,
+  "export": false,
+  "ffn_embedding_dim": 768,
+  "freeze_embeddings": false,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "init_fn": null,
+  "kdim": null,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layerdrop": 0.0,
+  "max_nodes": 512,
+  "model_type": "graphormer",
+  "multi_hop_max_dist": 5,
+  "no_token_positional_embeddings": false,
+  "num_atoms": 4608,
+  "num_attention_heads": 32,
+  "num_classes": 2,
+  "num_edge_dis": 128,
+  "num_edges": 1536,
+  "num_hidden_layers": 12,
+  "num_in_degree": 512,
+  "num_layers": 12,
+  "num_out_degree": 512,
+  "num_spatial": 512,
+  "num_trans_layers_to_freeze": 0,
+  "pad_token_id": 0,
+  "pre_layernorm": false,
+  "q_noise": 0.0,
+  "qn_block_size": 8,
+  "self_attention": true,
+  "share_input_output_embed": false,
+  "spatial_pos_max": 1024,
+  "torch_dtype": "float32",
+  "traceable": false,
+  "transformers_version": "4.27.4",
+  "vdim": null
+}

pytorch_model.bin

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training_args.bin

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