Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 84920.80939173698 |
| Emissions (Co2eq in kg) | 0.0513868595526206 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0025348040089024 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0884581590411567 |
| Consumed energy (kWh) | 1.090992963050056 |
| 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) | 0.1634725580790937 |
| Emissions (Co2eq in kg) | 0.03326065034509698 |
Note
12 juillet 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x8 |
| model_name | ft_16_9e6_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 9e-06 |
| batch_size | 16 |
| 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 | 0.706178 | 0.187500 |
| 1 | 0.291540 | 0.219992 | 0.907352 |
| 2 | 0.168339 | 0.207929 | 0.933749 |
| 3 | 0.118337 | 0.229890 | 0.930710 |
| 4 | 0.070725 | 0.273952 | 0.921328 |
| 5 | 0.045434 | 0.306476 | 0.916533 |
| 6 | 0.025567 | 0.373479 | 0.889592 |
- Downloads last month
- 14
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.