End of training
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README.md
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This model is a fine-tuned version of [clefourrier/graphormer-base-pcqm4mv2](https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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- total_eval_batch_size: 64
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.3096 | 4.0 | 2060 | 0.2712 |
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| 0.2819 | 5.0 | 2575 | 0.2830 |
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| 0.2414 | 6.0 | 3090 | 0.3111 |
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| 0.2024 | 7.0 | 3605 | 0.3633 |
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| 0.1843 | 8.0 | 4120 | 0.4180 |
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| 0.1467 | 9.0 | 4635 | 0.4040 |
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| 0.1364 | 10.0 | 5150 | 0.4349 |
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### Framework versions
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This model is a fine-tuned version of [clefourrier/graphormer-base-pcqm4mv2](https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2803
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## Model description
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- total_eval_batch_size: 64
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.477 | 1.0 | 515 | 0.3156 |
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| 0.401 | 2.0 | 1030 | 0.2614 |
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| 0.351 | 3.0 | 1545 | 0.2803 |
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### Framework versions
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model.safetensors
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training_args.bin
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