Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 95829.26539802553 |
Emissions (Co2eq in kg) | 0.0579877414680747 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 1.1313150673851378 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0998210330814122 |
Consumed energy (kWh) | 1.231136100466545 |
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) | 0.18447133589119913 |
Emissions (Co2eq in kg) | 0.037533128947559995 |
Note
19 juin 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ft_4_12e6_base_x2 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1.2e-05 |
batch_size | 4 |
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 | 0.726078 | 0.341519 |
1 | 0.288988 | 0.246964 | 0.920138 |
2 | 0.189319 | 0.263616 | 0.934579 |
3 | 0.131955 | 0.254547 | 0.927184 |
4 | 0.090746 | 0.284548 | 0.920878 |
5 | 0.055883 | 0.322191 | 0.917902 |
6 | 0.037835 | 0.379193 | 0.891145 |
- Downloads last month
- 7
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.