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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_bs16_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 | 16 | |
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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 | 12597 | |
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## Training and Testing steps |
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Epoch | Train Loss | Test Loss |
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| 0.0 | 15.499363 | 15.126202 | |
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| 0.5 | 8.243008 | 8.091313 | |
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| 1.0 | 7.354550 | 7.973097 | |
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| 1.5 | 7.244512 | 7.687902 | |
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| 2.0 | 7.199471 | 7.686438 | |
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| 2.5 | 7.161911 | 7.657964 | |
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| 3.0 | 7.049606 | 7.765894 | |
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| 3.5 | 7.091233 | 7.786471 | |
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| 4.0 | 7.060327 | 7.814007 | |
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| 4.5 | 7.164975 | 7.602441 | |
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| 5.0 | 7.008690 | 7.586652 | |
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| 5.5 | 7.035732 | 7.525334 | |
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| 6.0 | 7.045719 | 7.715493 | |
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| 6.5 | 7.108394 | 7.486681 | |
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| 7.0 | 6.992529 | 7.641908 | |
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| 7.5 | 6.993111 | 7.575982 | |
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| 8.0 | 7.051304 | 7.670884 | |
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| 8.5 | 7.075128 | 7.527084 | |
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| 9.0 | 7.010871 | 7.556140 | |
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| 9.5 | 6.978617 | 7.623441 | |
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| 10.0 | 7.033166 | 7.562979 | |
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| 10.5 | 7.026733 | 7.549661 | |
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| 11.0 | 7.080350 | 7.510597 | |
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| 11.5 | 6.955319 | 7.589880 | |
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