Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 81876.5769469738 |
| Emissions (Co2eq in kg) | 0.0495447399527448 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9665958708764776 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0852871030040082 |
| Consumed energy (kWh) | 1.051882973880487 |
| 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) | 0.15761241062292455 |
| Emissions (Co2eq in kg) | 0.03206832597089807 |
Note
12 juillet 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x4 |
| model_name | ft_32_7e6_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 7e-06 |
| batch_size | 32 |
| 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 | 0.701178 | 0.168707 |
| 1 | 0.349784 | 0.254927 | 0.881860 |
| 2 | 0.200302 | 0.216282 | 0.922634 |
| 3 | 0.150965 | 0.220584 | 0.907270 |
| 4 | 0.114888 | 0.219796 | 0.922349 |
| 5 | 0.077298 | 0.269110 | 0.920233 |
| 6 | 0.050235 | 0.291664 | 0.915660 |
- Downloads last month
- 5
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.