Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 73907.14050006866 |
| Emissions (Co2eq in kg) | 0.0447223579032736 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8725131868729991 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0769859299880762 |
| Consumed energy (kWh) | 0.9494991168610778 |
| 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) | 0.14227124546263217 |
| Emissions (Co2eq in kg) | 0.028946963362526893 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_3e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 3e-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 | 0.705804 | 0.817852 |
| 1 | 0.321496 | 0.220994 | 0.914489 |
| 2 | 0.187220 | 0.207845 | 0.931813 |
| 3 | 0.137383 | 0.210326 | 0.921516 |
| 4 | 0.096061 | 0.237309 | 0.921971 |
| 5 | 0.050152 | 0.267885 | 0.917971 |
| 6 | 0.028714 | 0.329107 | 0.897566 |
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