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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_bs2_lr1e4_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 0.0001 |
| batch_size | 2 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 336053 |
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 15.005549 | 15.920651 |
| 0.5 | 7.198105 | 7.115080 |
| 1.0 | 7.078745 | 7.082532 |
| 1.5 | 7.071485 | 7.070600 |
| 2.0 | 7.047659 | 7.051786 |
| 2.5 | 7.051301 | 7.048142 |
| 3.0 | 7.044681 | 7.046487 |
| 3.5 | 7.044321 | 7.042075 |
| 4.0 | 7.038846 | 7.040694 |
| 4.5 | 7.031206 | 7.034050 |
| 5.0 | 7.032629 | 7.037616 |
| 5.5 | 7.030567 | 7.030385 |