Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 128750.67122793198 |
| Emissions (Co2eq in kg) | 0.0779089493568579 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.5199690480424282 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1341136541689433 |
| Consumed energy (kWh) | 1.6540827022113755 |
| 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) | 0.24784504211376904 |
| Emissions (Co2eq in kg) | 0.05042734623094002 |
Note
12 juillet 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x1 |
| model_name | ft_1_8e6_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 8e-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 | 0.699806 | 0.606696 |
| 1 | 0.245190 | 0.218185 | 0.920342 |
| 2 | 0.155094 | 0.190662 | 0.938550 |
| 3 | 0.083541 | 0.245865 | 0.917326 |
| 4 | 0.033229 | 0.297091 | 0.918543 |
| 5 | 0.009242 | 0.355338 | 0.927503 |
| 6 | 0.003066 | 0.385624 | 0.932393 |
- 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.