Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 9463.653764724731 |
| Emissions (Co2eq in kg) | 0.006190923917876 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 7.5 |
| CPU energy (kWh) | 0.1117235191464424 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.019715811608235 |
| Consumed energy (kWh) | 0.1314393307546774 |
| 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) | 0.01821753349709511 |
| Emissions (Co2eq in kg) | 0.003706597724517186 |
Note
20 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/ThunBERT_bs16_lr5_MLM |
| model_name | ft_bs64_lr6_mlm |
| 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 | 0.540673 | 0.431631 | 0.799705 | 0.845092 |
| 1 | 0.384934 | 0.352200 | 0.850515 | 0.861963 |
| 2 | 0.322558 | 0.338670 | 0.850515 | 0.868098 |
| 3 | 0.295680 | 0.333823 | 0.849779 | 0.863497 |
| 4 | 0.262446 | 0.344478 | 0.848306 | 0.858896 |
| 5 | 0.221483 | 0.376880 | 0.849779 | 0.895706 |
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