Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 159163.96356463432 |
| Emissions (Co2eq in kg) | 0.1665945345676245 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 37.5 |
| CPU energy (kWh) | 1.8790164295088856 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 1.6579474261974336 |
| Consumed energy (kWh) | 3.5369638557063454 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 4 |
| 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) | 0.30639062986192106 |
| Emissions (Co2eq in kg) | 0.06233921906281511 |
Note
9 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ThunBERT_bs64_lr5 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-05 |
| batch_size | 64 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 10332 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 6.909546 | 4.164706 |
| 0.5 | 2.997779 | 2.971092 |
| 1.0 | 2.825093 | 2.881237 |
| 1.5 | 2.760029 | 2.842839 |
| 2.0 | 2.690453 | 2.804439 |
| 2.5 | 2.642067 | 2.759108 |
| 3.0 | 2.609351 | 2.711806 |
| 3.5 | 2.563262 | 2.682030 |
| 4.0 | 2.526233 | 2.664100 |
| 4.5 | 2.484387 | 2.630369 |
| 5.0 | 2.452856 | 2.621543 |
| 5.5 | 2.420350 | 2.589874 |
| 6.0 | 2.417808 | 2.582526 |
- Downloads last month
- 12
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.