End of training
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README.md
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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:
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## Model description
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 6.
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### Framework versions
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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: 7.6257
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## Model description
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 18.2131 | 0.8861 | 7 | 10.2140 |
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| 6.1806 | 1.8987 | 15 | 9.1356 |
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| 5.1328 | 2.9114 | 23 | 8.2925 |
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| 4.392 | 3.9241 | 31 | 7.6640 |
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| 3.4272 | 4.4304 | 35 | 7.6257 |
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### Framework versions
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events.out.tfevents.1715617147.3e2264ae7b9e.282.0
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