Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 235179.25721001625 |
| Emissions (Co2eq in kg) | 0.2461580386704725 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 37.5 |
| CPU energy (kWh) | 2.7764156361121146 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 2.449758726862564 |
| Consumed energy (kWh) | 5.226174362974726 |
| 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) | 0.4527200701292812 |
| Emissions (Co2eq in kg) | 0.09211187574058968 |
Note
11 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ThunBERT_bs32_lr5_MLM |
| 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 | 20615 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 9.311286 | 3.808294 |
| 0.5 | 2.786090 | 2.667479 |
| 1.0 | 2.619460 | 2.591051 |
| 1.5 | 2.537727 | 2.528691 |
| 2.0 | 2.468791 | 2.472272 |
| 2.5 | 2.418103 | 2.423349 |
| 3.0 | 2.369052 | 2.389390 |
| 3.5 | 2.329496 | 2.348273 |
| 4.0 | 2.301015 | 2.322976 |
| 4.5 | 2.252931 | 2.289648 |
| 5.0 | 2.227639 | 2.258564 |
| 5.5 | 2.204071 | 2.244520 |
| 6.0 | 2.187925 | 2.224316 |
- Downloads last month
- 0
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.