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| 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] |
| Metric | Value |
|---|---|
| CPU energy (kWh) | [No CPU] |
| Emissions (Co2eq in kg) | [More Information Needed] |
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | fp_bs1_lr5_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-05 |
| batch_size | 1 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 653803 |
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 18.929535 | 12.374481 |
| 0.5 | 6.150669 | 7.350698 |
| 1.0 | 7.353929 | 7.353778 |
| 1.5 | 7.351373 | 7.346361 |
| 2.0 | 7.339674 | 7.356026 |
| 2.5 | 7.344923 | 7.353741 |
| 3.0 | 7.340150 | 7.346424 |
| 3.5 | 7.345732 | 7.346051 |
| 4.0 | 7.335909 | 7.353673 |
| 4.5 | 7.326892 | 7.339535 |
| 5.0 | 7.310720 | 7.308603 |