Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 192283.67964935303
Emissions (Co2eq in kg) 0.1446556131795172
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 15.0
CPU energy (kWh) 2.2700089682180074
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.8011702674567661
Consumed energy (kWh) 3.071179235674767
Country name Switzerland
Cloud provider nan
Cloud region nan
CPU count 6
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) 0.3701460833250046
Emissions (Co2eq in kg) 0.07531110786266326

Note

5 juillet 2024 !

My Config

Config Value
checkpoint albert-base-v2
model_name fp_bs8_lr1e4_x4
sequence_length 400
num_epoch 6
learning_rate 0.0001
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 81709

Training and Testing steps

Epoch Train Loss Test Loss
0.0 17.859739 13.066814
0.5 3.997183 3.593726
1.0 3.391947 3.265344
1.5 6.459209 6.977757
2.0 6.985903 6.983891
2.5 6.982025 7.001526
3.0 6.995377 6.998771
3.5 6.984867 6.995654
4.0 6.984822 6.994850
4.5 6.975999 6.984660
5.0 6.978274 6.982478
5.5 6.975072 6.977838
6.0 6.976715 6.982384
Downloads last month
7
Safetensors
Model size
32.5M params
Tensor type
F32
·
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.