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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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2 May 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_MLM | |
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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 | 3270 | |
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## Training and Testing steps |
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Epoch | Train Loss | Test Loss |
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---|---|--- |
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| 0.0 | 14.601907 | 13.069239 | |
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| 0.5 | 7.447329 | 6.978540 | |
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| 1.0 | 6.960886 | 6.950151 | |
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| 1.5 | 4.932429 | 2.806009 | |
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| 2.0 | 2.701225 | 2.655897 | |
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| 2.5 | 2.606577 | 2.581771 | |
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| 3.0 | 2.548158 | 2.557307 | |
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| 3.5 | 2.505096 | 2.519658 | |
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| 4.0 | 2.481079 | 2.493212 | |
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| 4.5 | 2.450955 | 2.467917 | |
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| 5.0 | 2.436830 | 2.450555 | |
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| 5.5 | 2.415499 | 2.444447 | |
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| 6.0 | 2.396800 | 2.423250 | |
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| 6.5 | 2.386172 | 2.408114 | |
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| 7.0 | 2.366631 | 2.397662 | |
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