Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 72292.58600878716 |
| Emissions (Co2eq in kg) | 0.0437453634460759 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8534524710832389 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0753041040653985 |
| Consumed energy (kWh) | 0.9287565751486369 |
| 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) | 0.13916322806691525 |
| Emissions (Co2eq in kg) | 0.028314596186774968 |
Note
21 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_2e6_base |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 2e-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 | 32586 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.544336 | 0.477866 | 0.767240 | 0.803225 |
| 1 | 0.396334 | 0.386530 | 0.827345 | 0.877139 |
| 2 | 0.321938 | 0.380702 | 0.832649 | 0.840887 |
| 3 | 0.258635 | 0.413110 | 0.816591 | 0.838604 |
| 4 | 0.215591 | 0.433801 | 0.812760 | 0.825242 |
| 5 | 0.162357 | 0.478323 | 0.809816 | 0.807659 |
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