Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 14284.394858121872 |
| Emissions (Co2eq in kg) | 0.0093445332329461 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 7.5 |
| CPU energy (kWh) | 0.1686347934653361 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0297587275415659 |
| Consumed energy (kWh) | 0.1983935210069022 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 3 |
| 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) | 0.027497460101884603 |
| Emissions (Co2eq in kg) | 0.005594721319431066 |
Note
17 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_bs64_lr6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-06 |
| batch_size | 64 |
| 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 | 0.509996 | 0.432674 | 0.800442 | 0.815951 |
| 1 | 0.378199 | 0.369624 | 0.834315 | 0.825153 |
| 2 | 0.330051 | 0.377433 | 0.835788 | 0.924847 |
| 3 | 0.294745 | 0.346708 | 0.849779 | 0.878834 |
| 4 | 0.271853 | 0.396932 | 0.829897 | 0.757669 |
| 5 | 0.212074 | 0.384297 | 0.846097 | 0.848160 |
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