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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_bs64_lr5 | |
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| sequence_length | 400 | |
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| num_epoch | 12 | |
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| learning_rate | 5e-05 | |
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| batch_size | 64 | |
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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 | 3148 | |
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## Training and Testing steps |
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Epoch | Train Loss | Test Loss |
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| 0.0 | 15.402081 | 13.817045 | |
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| 0.5 | 8.054414 | 7.829068 | |
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| 1.0 | 4.816239 | 3.114260 | |
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| 1.5 | 2.206430 | 2.955595 | |
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| 2.0 | 2.189819 | 2.872115 | |
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| 2.5 | 2.418134 | 2.865437 | |
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| 3.0 | 2.349051 | 2.810524 | |
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| 3.5 | 2.102283 | 2.820134 | |
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| 4.0 | 1.907061 | 2.957294 | |
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| 4.5 | 2.326205 | 2.785392 | |
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| 5.0 | 2.257292 | 2.737638 | |
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| 5.5 | 2.127350 | 2.733068 | |
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| 6.0 | 1.883285 | 2.774372 | |
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| 6.5 | 2.100682 | 2.667502 | |
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| 7.0 | 2.194973 | 2.628296 | |
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| 7.5 | 2.163919 | 2.643665 | |
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| 8.0 | 1.850441 | 2.637510 | |
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| 8.5 | 1.968181 | 2.632833 | |
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| 9.0 | 2.121989 | 2.625116 | |
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| 9.5 | 2.136497 | 2.646418 | |
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| 10.0 | 1.891819 | 2.655790 | |
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| 10.5 | 1.822331 | 2.596789 | |
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| 11.0 | 2.116980 | 2.584595 | |
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| 11.5 | 2.101184 | 2.588414 | |
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