Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 91289.80561733246 |
| Emissions (Co2eq in kg) | 0.0552408429486838 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0777242925302906 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0950924830940861 |
| Consumed energy (kWh) | 1.1728167756243784 |
| 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) | 0.175732875813365 |
| Emissions (Co2eq in kg) | 0.035755173866788545 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_10e6_base_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-05 |
| 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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.714003 | 0.669301 |
| 1 | 0.327583 | 0.267065 | 0.922306 |
| 2 | 0.218330 | 0.237889 | 0.906824 |
| 3 | 0.179431 | 0.235098 | 0.929191 |
| 4 | 0.144470 | 0.257841 | 0.926566 |
| 5 | 0.110232 | 0.251879 | 0.924993 |
| 6 | 0.084384 | 0.288409 | 0.918124 |
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