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End of training

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README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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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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  ## Model description
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@@ -42,15 +42,17 @@ The following hyperparameters were used during training:
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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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  ### Training results
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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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  ### 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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