Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 89175.13323688507
Emissions (Co2eq in kg) 0.0539612128855847
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 1.0527592902100753
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.0928896957049764
Consumed energy (kWh) 1.1456489859150494
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) 0.17166213148100376
Emissions (Co2eq in kg) 0.034926927184446656

Note

19 juin 2024

My Config

Config Value
checkpoint albert-base-v2
model_name ft_8_18e6_base_x8
sequence_length 400
num_epoch 6
learning_rate 1.8e-05
batch_size 8
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 0.719952 0.400394
1 0.314237 0.239690 0.927737
2 0.215380 0.232570 0.918559
3 0.165142 0.238160 0.931717
4 0.123560 0.266535 0.918210
5 0.090026 0.297954 0.920310
6 0.066797 0.331263 0.919366
Downloads last month
6
Safetensors
Model size
61.3M params
Tensor type
F32
·
Inference Examples
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.