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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_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 | 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 | 6287 | |
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## Training and Testing steps |
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Epoch | Train Loss | Test Loss |
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| 0.0 | 15.495780 | 13.831327 | |
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| 0.5 | 7.825472 | 7.840593 | |
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| 1.0 | 7.327533 | 7.785610 | |
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| 1.5 | 7.205367 | 7.586150 | |
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| 2.0 | 7.151769 | 7.663743 | |
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| 2.5 | 7.125600 | 8.101605 | |
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| 3.0 | 7.034717 | 7.773854 | |
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| 3.5 | 7.092155 | 7.549316 | |
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| 4.0 | 7.067814 | 7.819034 | |
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| 4.5 | 7.141888 | 7.587213 | |
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| 5.0 | 7.006890 | 7.892200 | |
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| 5.5 | 7.049742 | 7.752103 | |
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| 6.0 | 7.048553 | 7.844037 | |
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| 6.5 | 7.096755 | 7.641740 | |
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