Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 31476.51491165161 |
| Emissions (Co2eq in kg) | 0.0193557967525063 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 4.500000000000001 |
| CPU energy (kWh) | 0.3715970706832078 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0393453032049536 |
| Consumed energy (kWh) | 0.4109423738881623 |
| 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) | 0.060592291204929344 |
| Emissions (Co2eq in kg) | 0.012328301673730212 |
Note
17 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_bs32_lr6_base_x4 |
| sequence_length | 400 |
| num_epoch | 12 |
| learning_rate | 5e-06 |
| 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 | 65160 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.464978 | 0.393267 | 0.820324 | 0.863497 |
| 1 | 0.357935 | 0.372957 | 0.837261 | 0.881902 |
| 2 | 0.307998 | 0.368084 | 0.840206 | 0.819018 |
| 3 | 0.270172 | 0.422406 | 0.818851 | 0.742331 |
| 4 | 0.219624 | 0.438727 | 0.824742 | 0.814417 |
| 5 | 0.160742 | 0.480765 | 0.811487 | 0.891104 |
| 6 | 0.098260 | 0.613929 | 0.811487 | 0.866564 |
| 7 | 0.068914 | 0.678225 | 0.814433 | 0.771472 |
| 8 | 0.034506 | 0.775600 | 0.809278 | 0.826687 |
| 9 | 0.030098 | 0.782375 | 0.811487 | 0.842025 |
| 10 | 0.035147 | 0.840999 | 0.804860 | 0.849693 |
| 11 | 0.019798 | 0.855098 | 0.821060 | 0.860429 |
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