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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: clefourrier/pcqm4mv2_graphormer_base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: graph-regression
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # graph-regression
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+
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+ This model is a fine-tuned version of [clefourrier/pcqm4mv2_graphormer_base](https://huggingface.co/clefourrier/pcqm4mv2_graphormer_base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.6828
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - gradient_accumulation_steps: 10
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+ - total_train_batch_size: 640
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 7.2485 | 0.9375 | 3 | 5.1142 |
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+ | 6.8919 | 1.875 | 6 | 4.8364 |
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+ | 5.2272 | 2.8125 | 9 | 4.6828 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "clefourrier/pcqm4mv2_graphormer_base",
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+ "activation_dropout": 0.1,
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+ "activation_fn": "gelu",
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+ "apply_graphormer_init": true,
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+ "architectures": [
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+ "GraphormerForGraphClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "bias": true,
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+ "bos_token_id": 1,
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+ "dropout": 0.0,
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+ "edge_type": "multi_hop",
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+ "embed_scale": null,
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+ "embedding_dim": 768,
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+ "encoder_normalize_before": true,
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+ "eos_token_id": 2,
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+ "export": false,
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+ "ffn_embedding_dim": 768,
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+ "freeze_embeddings": false,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "LABEL_0"
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+ },
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+ "init_fn": null,
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+ "kdim": null,
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+ "label2id": {
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+ "LABEL_0": 0
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+ },
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+ "layerdrop": 0.0,
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+ "max_nodes": 512,
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+ "model_type": "graphormer",
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+ "multi_hop_max_dist": 5,
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+ "no_token_positional_embeddings": false,
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+ "num_atoms": 4608,
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+ "num_attention_heads": 32,
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+ "num_classes": 1,
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+ "num_edge_dis": 128,
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+ "num_edges": 1536,
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+ "num_hidden_layers": 12,
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+ "num_in_degree": 512,
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+ "num_layers": 12,
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+ "num_out_degree": 512,
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+ "num_spatial": 512,
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+ "num_trans_layers_to_freeze": 0,
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+ "pad_token_id": 0,
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+ "pre_layernorm": false,
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+ "q_noise": 0.0,
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+ "qn_block_size": 8,
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+ "self_attention": true,
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+ "share_input_output_embed": false,
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+ "spatial_pos_max": 1024,
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+ "torch_dtype": "float32",
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+ "traceable": false,
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+ "transformers_version": "4.40.2",
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+ "vdim": null
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+ }
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