Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 90207.723072052 |
| Emissions (Co2eq in kg) | 0.054586058177996 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0649497624455218 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0939652962155641 |
| Consumed energy (kWh) | 1.158915058661092 |
| 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) | 0.1736498669137001 |
| Emissions (Co2eq in kg) | 0.03533135820322037 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_6e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 6e-06 |
| batch_size | 4 |
| 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 | 0.714896 | 0.531263 |
| 1 | 0.292167 | 0.236294 | 0.928509 |
| 2 | 0.185937 | 0.217502 | 0.928056 |
| 3 | 0.135182 | 0.233169 | 0.931690 |
| 4 | 0.089336 | 0.274645 | 0.909099 |
| 5 | 0.058477 | 0.311530 | 0.913879 |
| 6 | 0.036326 | 0.355238 | 0.901049 |
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