Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 88438.15457320213 |
| Emissions (Co2eq in kg) | 0.0535152620000662 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.044058993578954 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0921220216875275 |
| Consumed energy (kWh) | 1.1361810152664762 |
| 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) | 0.17024344755341408 |
| Emissions (Co2eq in kg) | 0.0346382772078375 |
Note
12 juillet 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x8 |
| model_name | ft_8_16e6_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.6e-05 |
| batch_size | 8 |
| 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 | 0.703121 | 0.666354 |
| 1 | 0.261964 | 0.228069 | 0.923557 |
| 2 | 0.160766 | 0.218282 | 0.936076 |
| 3 | 0.097566 | 0.290162 | 0.884866 |
| 4 | 0.054731 | 0.302541 | 0.917371 |
| 5 | 0.032288 | 0.366288 | 0.907910 |
| 6 | 0.024852 | 0.409746 | 0.929728 |
- Downloads last month
- 18
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.