Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 84138.70216274261 |
| Emissions (Co2eq in kg) | 0.0509135990345782 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9933017011276544 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0876434812374411 |
| Consumed energy (kWh) | 1.0809451823650926 |
| 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) | 0.16196700166327951 |
| Emissions (Co2eq in kg) | 0.032954325013740855 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_1e6_base_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-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 | 0.693645 | 0.661852 |
| 1 | 0.445553 | 0.354645 | 0.858109 |
| 2 | 0.327056 | 0.309074 | 0.880752 |
| 3 | 0.288958 | 0.283304 | 0.885295 |
| 4 | 0.265379 | 0.276536 | 0.893857 |
| 5 | 0.249069 | 0.270040 | 0.902694 |
| 6 | 0.232835 | 0.257196 | 0.899381 |
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