Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 76993.88854002953
Emissions (Co2eq in kg) 0.0465901744011517
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 0.9089535264518518
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.0802011496941249
Consumed energy (kWh) 0.9891546761459789
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) 0.14821323543955683
Emissions (Co2eq in kg) 0.03015593967817823

Note

19 juin 2024

My Config

Config Value
checkpoint albert-base-v2
model_name ft_32_16e6_base_x4
sequence_length 400
num_epoch 6
learning_rate 1.6e-05
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 0.739663 0.407901
1 0.339062 0.228771 0.909112
2 0.194211 0.227631 0.942929
3 0.142600 0.235747 0.901380
4 0.095002 0.263570 0.920270
5 0.064711 0.334313 0.924025
6 0.040565 0.377199 0.918595
Downloads last month
6
Safetensors
Model size
32.9M params
Tensor type
F32
·
Inference API
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.