Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 68219.93429875374 |
| Emissions (Co2eq in kg) | 0.0412809365651874 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.80537261104286 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0710617866384486 |
| Consumed energy (kWh) | 0.8764343976813106 |
| 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) | 0.13132337352510096 |
| Emissions (Co2eq in kg) | 0.026719474267011878 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_17e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.7e-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 | 0.712503 | 0.377147 |
| 1 | 0.327415 | 0.225597 | 0.932051 |
| 2 | 0.192420 | 0.218485 | 0.914538 |
| 3 | 0.137561 | 0.234475 | 0.931493 |
| 4 | 0.096490 | 0.240244 | 0.910265 |
| 5 | 0.071523 | 0.289267 | 0.938977 |
| 6 | 0.042446 | 0.320110 | 0.924455 |
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