Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 95635.66425299644
Emissions (Co2eq in kg) 0.0578705814908073
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 1.1290293123470423
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.0996193679528929
Consumed energy (kWh) 1.2286486802999383
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) 0.18409865368701817
Emissions (Co2eq in kg) 0.03745730183242361

Note

19 juin 2024

My Config

Config Value
checkpoint albert-base-v2
model_name ft_4_11e6_base_x4
sequence_length 400
num_epoch 6
learning_rate 1.1e-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 0.735825 0.214299
1 0.294253 0.237996 0.884702
2 0.195713 0.225240 0.927937
3 0.143365 0.248854 0.897371
4 0.100420 0.290587 0.902752
5 0.066621 0.303921 0.915935
6 0.044707 0.403602 0.876595
Downloads last month
3
Safetensors
Model size
32.9M 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.