Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 63363.80458807945 |
Emissions (Co2eq in kg) | 0.0383424426015018 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.7480437953352931 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0660035200402141 |
Consumed energy (kWh) | 0.814047315375508 |
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) | 0.12197532383205294 |
Emissions (Co2eq in kg) | 0.02481749013033112 |
Note
14 juin 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ft_2_1e6_base_x2 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1e-06 |
batch_size | 2 |
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 | 0.694536 | 0.391247 |
1 | 0.344710 | 0.244879 | 0.897322 |
2 | 0.212956 | 0.248170 | 0.885115 |
3 | 0.169683 | 0.217404 | 0.923710 |
4 | 0.135652 | 0.229593 | 0.928016 |
5 | 0.102900 | 0.245075 | 0.917332 |
6 | 0.075348 | 0.258887 | 0.918590 |
- Downloads last month
- 18
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.