Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 79819.9570338726 |
| Emissions (Co2eq in kg) | 0.048300264090403 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9423167014588923 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0831448405551412 |
| Consumed energy (kWh) | 1.025461542014034 |
| 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) | 0.15365341729020476 |
| Emissions (Co2eq in kg) | 0.031262816504933434 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_15e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.5e-05 |
| 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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.711724 | 0.583614 |
| 1 | 0.310757 | 0.224640 | 0.916699 |
| 2 | 0.203199 | 0.217672 | 0.913865 |
| 3 | 0.153599 | 0.238551 | 0.921586 |
| 4 | 0.110183 | 0.278579 | 0.917867 |
| 5 | 0.074537 | 0.309212 | 0.910933 |
| 6 | 0.051530 | 0.332589 | 0.913507 |
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.