Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 85146.8127169609 |
| Emissions (Co2eq in kg) | 0.0515236786649076 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0052037911984646 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0886939745582642 |
| Consumed energy (kWh) | 1.093897765756728 |
| 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) | 0.16390761448014973 |
| Emissions (Co2eq in kg) | 0.03334916831414302 |
Note
12 juillet 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x4 |
| model_name | ft_1_15e6_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.5e-05 |
| 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 | 0.696992 | 0.431280 |
| 1 | 0.270127 | 0.234748 | 0.935618 |
| 2 | 0.174800 | 0.225274 | 0.930526 |
| 3 | 0.107021 | 0.245580 | 0.929247 |
| 4 | 0.053322 | 0.295348 | 0.923069 |
| 5 | 0.025333 | 0.363698 | 0.925488 |
| 6 | 0.015153 | 0.409925 | 0.921495 |
- Downloads last month
- 6
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.