Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 83789.20745301247 |
| Emissions (Co2eq in kg) | 0.0507020949464295 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9891753853746592 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0872793596717218 |
| Consumed energy (kWh) | 1.0764547450463795 |
| 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) | 0.16129422434704901 |
| Emissions (Co2eq in kg) | 0.03281743958576322 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_9e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 9e-06 |
| batch_size | 16 |
| 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 | 0.703144 | 0.447810 |
| 1 | 0.306424 | 0.210927 | 0.940563 |
| 2 | 0.182010 | 0.230118 | 0.918167 |
| 3 | 0.127164 | 0.221331 | 0.930087 |
| 4 | 0.075229 | 0.264142 | 0.924670 |
| 5 | 0.039779 | 0.339640 | 0.925449 |
| 6 | 0.026669 | 0.361446 | 0.900906 |
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