Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 108712.95373177528 |
| Emissions (Co2eq in kg) | 0.065783855106357 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.2834138128586976 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1132413559563454 |
| Consumed energy (kWh) | 1.396655168815038 |
| 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) | 0.2092724359336674 |
| Emissions (Co2eq in kg) | 0.04257924021161198 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_2_5e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-06 |
| batch_size | 2 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.724908 | 0.440471 |
| 1 | 0.302196 | 0.232384 | 0.914188 |
| 2 | 0.206751 | 0.230519 | 0.891085 |
| 3 | 0.144481 | 0.212695 | 0.930949 |
| 4 | 0.094489 | 0.242396 | 0.933765 |
| 5 | 0.051128 | 0.315283 | 0.904877 |
| 6 | 0.031377 | 0.321763 | 0.931010 |
- Downloads last month
- 2