Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | [More Information Needed] |
| Emissions (Co2eq in kg) | [More Information Needed] |
| CPU power (W) | [NO CPU] |
| GPU power (W) | [No GPU] |
| RAM power (W) | [More Information Needed] |
| CPU energy (kWh) | [No CPU] |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | [More Information Needed] |
| Consumed energy (kWh) | [More Information Needed] |
| Country name | [More Information Needed] |
| Cloud provider | [No Cloud] |
| Cloud region | [No Cloud] |
| CPU count | [No CPU] |
| CPU model | [No CPU] |
| GPU count | [No GPU] |
| GPU model | [No GPU] |
Environmental Impact (for one core)
| Metric | Value |
|---|---|
| CPU energy (kWh) | [No CPU] |
| Emissions (Co2eq in kg) | [More Information Needed] |
Note
11 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ThunBERT_bs8_lr4_MLM |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 0.0005 |
| batch_size | 8 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 81680 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 10.543088 | 10.480216 |
| 0.5 | 7.136020 | 7.056888 |
| 1.0 | 7.012019 | 7.004119 |
| 1.5 | 6.990851 | 6.982289 |
| 2.0 | 7.008927 | 6.981744 |
| 2.5 | 6.986691 | 6.975362 |
| 3.0 | 6.971014 | 6.972791 |
| 3.5 | 6.971395 | 6.976788 |
| 4.0 | 6.964603 | 6.968367 |
| 4.5 | 6.960862 | 6.960208 |
| 5.0 | 6.952116 | 6.964635 |
| 5.5 | 6.951814 | 6.951701 |
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