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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_x4 |
| 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 | 662818 |
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 15.241581 | 12.120975 |
| 0.5 | 5.497093 | 7.297294 |
| 1.0 | 7.354010 | 7.360407 |
| 1.5 | 7.350967 | 7.350409 |
| 2.0 | 7.398173 | 7.515934 |
| 2.5 | 7.383929 | 7.345428 |
| 3.0 | 7.333906 | 7.355884 |
| 3.5 | 7.334240 | 7.339396 |
| 4.0 | 7.327380 | 7.331812 |
| 4.5 | 7.311137 | 7.321233 |
| 5.0 | 7.297813 | 7.296060 |
| 5.5 | 7.278189 | 7.279098 |