Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 49553.42141032219 |
| Emissions (Co2eq in kg) | 0.0299855659153916 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.5850048634934761 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0516178391113878 |
| Consumed energy (kWh) | 0.6366227026048621 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 2 |
| CPU model | Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz |
| GPU count | nan |
| GPU model | nan |
Environmental Impact (for one core)
| Metric | Value |
|---|---|
| CPU energy (kWh) | 0.0953903362148702 |
| Emissions (Co2eq in kg) | 0.01940842338570952 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_14e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.4e-05 |
| batch_size | 32 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.705695 | 0.349682 |
| 1 | 0.324650 | 0.245880 | 0.931878 |
| 2 | 0.186641 | 0.227299 | 0.899948 |
| 3 | 0.136289 | 0.220477 | 0.910546 |
| 4 | 0.083458 | 0.254802 | 0.912736 |
| 5 | 0.058306 | 0.268142 | 0.917724 |
| 6 | 0.045264 | 0.318445 | 0.899427 |
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