Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 180540.8281199932 |
| Emissions (Co2eq in kg) | 0.1889692277270039 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 37.5 |
| CPU energy (kWh) | 2.1313811261523066 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 1.8806192077472823 |
| Consumed energy (kWh) | 4.012000333899577 |
| 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) | 0.3475410941309869 |
| Emissions (Co2eq in kg) | 0.07071182434699733 |
Note
15 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ThunBERT_bs32_lr5 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-05 |
| 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 | 20393 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 4.767287 | 3.817442 |
| 0.5 | 3.344291 | 3.201500 |
| 1.0 | 3.131225 | 3.044940 |
| 1.5 | 2.992692 | 2.967517 |
| 2.0 | 2.911544 | 2.897029 |
| 2.5 | 2.861460 | 2.844424 |
| 3.0 | 2.797808 | 2.814696 |
| 3.5 | 2.738420 | 2.776461 |
| 4.0 | 2.698689 | 2.730229 |
| 4.5 | 2.671872 | 2.693672 |
| 5.0 | 2.628263 | 2.662948 |
| 5.5 | 2.587204 | 2.639905 |
| 6.0 | 2.565847 | 2.620656 |
- 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.