Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 64521.65361833573 |
Emissions (Co2eq in kg) | 0.0390430510238909 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.7617124852599358 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0672094277332226 |
Consumed energy (kWh) | 0.8289219129931618 |
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) | 0.12420418321529628 |
Emissions (Co2eq in kg) | 0.025270981000514826 |
Note
19 juin 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ft_32_9e6_base_x1 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 9e-06 |
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 | 29328 |
Training and Testing steps
Epoch | Train Loss | Test Loss | F-beta Score |
---|---|---|---|
0 | 0.000000 | 0.708413 | 0.765260 |
1 | 0.351244 | 0.243379 | 0.913919 |
2 | 0.197510 | 0.226436 | 0.914135 |
3 | 0.140162 | 0.216890 | 0.936142 |
4 | 0.096865 | 0.262625 | 0.912753 |
5 | 0.063076 | 0.296102 | 0.917618 |
6 | 0.041265 | 0.310545 | 0.909462 |
- Downloads last month
- 4
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.