Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 140669.17678689957 |
Emissions (Co2eq in kg) | 0.1058261244352576 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 15.0 |
CPU energy (kWh) | 1.6606747145502063 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.5861167428553103 |
Consumed energy (kWh) | 2.246791457405525 |
Country name | Switzerland |
Cloud provider | nan |
Cloud region | nan |
CPU count | 6 |
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) | 0.2707881653147816 |
Emissions (Co2eq in kg) | 0.055095427574868995 |
Note
5 juillet 2024 !
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | fp_bs32_lr2e4_x4 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 0.0002 |
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 | 20752 |
Training and Testing steps
Epoch | Train Loss | Test Loss |
---|---|---|
0.0 | 14.515868 | 9.312956 |
0.5 | 7.111266 | 7.050762 |
1.0 | 7.021493 | 7.024133 |
1.5 | 7.006866 | 7.007003 |
2.0 | 6.992670 | 6.998800 |
2.5 | 6.978618 | 6.984077 |
3.0 | 6.970836 | 6.979744 |
3.5 | 6.958583 | 6.959089 |
4.0 | 6.950271 | 6.957284 |
4.5 | 6.939473 | 6.949173 |
5.0 | 6.946964 | 6.946323 |
5.5 | 6.930136 | 6.940154 |
6.0 | 6.936517 | 6.935049 |
- Downloads last month
- 6
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.