Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 72108.18771147728 |
Emissions (Co2eq in kg) | 0.0436337686919641 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.8512753254933474 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.075111984584232 |
Consumed energy (kWh) | 0.9263873100775806 |
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) | 0.13880826134459376 |
Emissions (Co2eq in kg) | 0.028242373520328597 |
Note
19 juin 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ft_32_9e6_base_x12 |
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 | 0.769496 | 0.568915 |
1 | 0.394504 | 0.299390 | 0.892960 |
2 | 0.248500 | 0.255195 | 0.907169 |
3 | 0.201805 | 0.245713 | 0.927074 |
4 | 0.172395 | 0.228271 | 0.920754 |
5 | 0.145818 | 0.238505 | 0.897134 |
6 | 0.120750 | 0.262823 | 0.918250 |
- Downloads last month
- 2
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.