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language: en |
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tags: |
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- fill-mask |
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## Environmental Impact (CODE CARBON DEFAULT) |
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| Metric | Value | |
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|--------------------------|---------------------------------| |
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| Duration (in seconds) | [More Information Needed] | |
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| Emissions (Co2eq in kg) | [More Information Needed] | |
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| CPU power (W) | [NO CPU] | |
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| GPU power (W) | [No GPU] | |
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| RAM power (W) | [More Information Needed] | |
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| CPU energy (kWh) | [No CPU] | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | [More Information Needed] | |
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| Consumed energy (kWh) | [More Information Needed] | |
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| Country name | [More Information Needed] | |
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| Cloud provider | [No Cloud] | |
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| Cloud region | [No Cloud] | |
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| CPU count | [No CPU] | |
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| CPU model | [No CPU] | |
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| GPU count | [No GPU] | |
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| GPU model | [No GPU] | |
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## Environmental Impact (for one core) |
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| Metric | Value | |
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|--------------------------|---------------------------------| |
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| CPU energy (kWh) | [No CPU] | |
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| Emissions (Co2eq in kg) | [More Information Needed] | |
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## Note |
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30 April 2024 |
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## My Config |
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| Config | Value | |
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|--------------------------|-----------------| |
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| checkpoint | albert-base-v2 | |
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| model_name | BERTrand_bs32_lr6 | |
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| sequence_length | 400 | |
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| num_epoch | 12 | |
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| learning_rate | 5e-06 | |
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| batch_size | 32 | |
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| weight_decay | 0.0 | |
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| warm_up_prop | 0 | |
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| drop_out_prob | 0.1 | |
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| packing_length | 100 | |
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| train_test_split | 0.2 | |
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| num_steps | 6318 | |
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## Training and Testing steps |
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Epoch | Train Loss | Test Loss |
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| 0.0 | 15.603048 | 15.109937 | |
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| 0.5 | 8.715844 | 8.071290 | |
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| 1.0 | 7.608879 | 8.114126 | |
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| 1.5 | 7.407612 | 7.914163 | |
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| 2.0 | 7.323461 | 7.774658 | |
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| 2.5 | 7.248362 | 7.696718 | |
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| 3.0 | 7.101276 | 7.856242 | |
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| 3.5 | 7.134161 | 7.617901 | |
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| 4.0 | 7.105548 | 7.837306 | |
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| 4.5 | 7.221799 | 7.653854 | |
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| 5.0 | 7.047156 | 7.659136 | |
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| 5.5 | 7.080983 | 7.554190 | |
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| 6.0 | 7.083629 | 7.670907 | |
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| 6.5 | 7.180606 | 7.623875 | |
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| 7.0 | 7.036574 | 7.571451 | |
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| 7.5 | 7.037596 | 7.550659 | |
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| 8.0 | 7.082738 | 7.634689 | |
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| 8.5 | 7.136363 | 7.576325 | |
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| 9.0 | 7.046428 | 7.594891 | |
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| 9.5 | 7.022868 | 7.588534 | |
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| 10.0 | 7.075124 | 7.532026 | |
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| 10.5 | 7.078401 | 7.519065 | |
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| 11.0 | 7.109886 | 7.550544 | |
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| 11.5 | 7.002302 | 7.586807 | |
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| 12.0 | 7.054321 | 7.544724 | |
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