Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 39922.8010020256 |
| Emissions (Co2eq in kg) | 0.0245496594537213 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 4.500000000000001 |
| CPU energy (kWh) | 0.4713100399212706 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0499030862060189 |
| Consumed energy (kWh) | 0.5212131261272877 |
| 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) | 0.07685139192889928 |
| Emissions (Co2eq in kg) | 0.015636430392460023 |
Note
17 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_bs16_lr6_base |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-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 | 32580 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.454731 | 0.365926 | 0.840943 | 0.851227 |
| 1 | 0.348025 | 0.367064 | 0.843152 | 0.884969 |
| 2 | 0.303349 | 0.360609 | 0.848306 | 0.840491 |
| 3 | 0.247147 | 0.404108 | 0.834315 | 0.889571 |
| 4 | 0.176933 | 0.446045 | 0.822533 | 0.860429 |
| 5 | 0.126679 | 0.511276 | 0.818851 | 0.815951 |
- Downloads last month
- -