Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 149421.34432411194 |
| Emissions (Co2eq in kg) | 0.0904171081059712 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.763997568230994 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.155645498921971 |
| Consumed energy (kWh) | 1.919643067152954 |
| 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) | 0.2876360878239155 |
| Emissions (Co2eq in kg) | 0.05852335986027717 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_14e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.4e-05 |
| batch_size | 1 |
| 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 | 0.714955 | 0.532863 |
| 1 | 0.365512 | 0.271997 | 0.896713 |
| 2 | 0.252117 | 0.241313 | 0.921892 |
| 3 | 0.197096 | 0.236746 | 0.918064 |
| 4 | 0.153697 | 0.233381 | 0.915550 |
| 5 | 0.117428 | 0.267758 | 0.916315 |
| 6 | 0.088963 | 0.292072 | 0.921117 |
- Downloads last month
- -