metadata
language: en
tags:
- fill-mask
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
5 juillet 2024 !
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | fp_bs8_lr1e4_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 0.0001 |
| 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 | 81689 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 14.831572 | 15.107053 |
| 0.5 | 4.180298 | 3.747577 |
| 1.0 | 3.563155 | 3.459220 |
| 1.5 | 3.335922 | 3.296716 |
| 2.0 | 3.380067 | 6.984087 |
| 2.5 | 6.973961 | 6.969550 |
| 3.0 | 6.971643 | 6.979950 |
| 3.5 | 6.971316 | 6.981630 |
| 4.0 | 6.979162 | 6.988373 |
| 4.5 | 6.982184 | 6.984194 |