Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 134887.8342678547 |
| Emissions (Co2eq in kg) | 0.0816226639825111 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.5924219527438312 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.140506519741068 |
| Consumed energy (kWh) | 1.732928472484898 |
| 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) | 0.25965908096562024 |
| Emissions (Co2eq in kg) | 0.05283106842157642 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_3e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 3e-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 | 0.703567 | 0.534635 |
| 1 | 0.281652 | 0.218605 | 0.935946 |
| 2 | 0.171404 | 0.208878 | 0.923085 |
| 3 | 0.106783 | 0.228062 | 0.920398 |
| 4 | 0.047252 | 0.302797 | 0.913588 |
| 5 | 0.015686 | 0.390900 | 0.911855 |
| 6 | 0.004947 | 0.405483 | 0.922847 |
- Downloads last month
- 22
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.