Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 121613.65523481368 |
| Emissions (Co2eq in kg) | 0.0735903022217836 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.4357139291601058 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1266796977646649 |
| Consumed energy (kWh) | 1.5623936269247716 |
| 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) | 0.2341062863270163 |
| Emissions (Co2eq in kg) | 0.047632014966968686 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_16e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.6e-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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.717314 | 0.336091 |
| 1 | 0.391242 | 0.300126 | 0.862624 |
| 2 | 0.278221 | 0.353727 | 0.903188 |
| 3 | 0.313037 | 0.373150 | 0.896398 |
| 4 | 0.293541 | 0.357159 | 0.893661 |
| 5 | 0.263709 | 0.348355 | 0.729802 |
| 6 | 0.243396 | 0.367530 | 0.735651 |
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