Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 93021.05769634248 |
| Emissions (Co2eq in kg) | 0.0562884400589644 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0981624427899734 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0968958374793328 |
| Consumed energy (kWh) | 1.195058280269304 |
| 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) | 0.17906553606545927 |
| Emissions (Co2eq in kg) | 0.036433247597734135 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_17e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.7e-05 |
| batch_size | 4 |
| 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 | 0.752857 | 0.262372 |
| 1 | 0.311999 | 0.231681 | 0.920071 |
| 2 | 0.214213 | 0.237624 | 0.905278 |
| 3 | 0.172759 | 0.232227 | 0.930097 |
| 4 | 0.132690 | 0.247171 | 0.927644 |
| 5 | 0.098480 | 0.277976 | 0.931571 |
| 6 | 0.067601 | 0.312103 | 0.917097 |
- Downloads last month
- 2
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.