Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 125848.86275911333 |
| Emissions (Co2eq in kg) | 0.0761530479784977 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.4857121651629617 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1310910445034507 |
| Consumed energy (kWh) | 1.6168032096664142 |
| 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) | 0.24225906081129314 |
| Emissions (Co2eq in kg) | 0.04929080458065272 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_5e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-06 |
| 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 | 0.730094 | 0.402281 |
| 1 | 0.297511 | 0.220100 | 0.935513 |
| 2 | 0.190826 | 0.215117 | 0.906121 |
| 3 | 0.136272 | 0.220550 | 0.933180 |
| 4 | 0.079602 | 0.236736 | 0.930412 |
| 5 | 0.036942 | 0.285780 | 0.924811 |
| 6 | 0.015882 | 0.316737 | 0.921000 |
- 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.