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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_bs64_lr3e4_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 0.0003 |
| batch_size | 64 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 10295 |
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 8.995311 | 7.557387 |
| 0.5 | 4.974196 | 6.986791 |
| 1.0 | 6.983252 | 6.998666 |
| 1.5 | 6.988333 | 6.989107 |
| 2.0 | 6.981006 | 6.988643 |
| 2.5 | 6.980059 | 6.977204 |
| 3.0 | 6.973469 | 6.979109 |
| 3.5 | 6.973528 | 6.973800 |