Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 63989.33048963547
Emissions (Co2eq in kg) 0.0387209410252947
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 0.7554281937279657
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.0666550109873215
Consumed energy (kWh) 0.8220832047152874
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) 0.12317946119254827
Emissions (Co2eq in kg) 0.025062487775107226

Note

19 juin 2024

My Config

Config Value
checkpoint albert-base-v2
model_name ft_16_10e6_base_x4
sequence_length 400
num_epoch 6
learning_rate 1e-05
batch_size 16
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 0.729037 0.389543
1 0.311845 0.243218 0.904365
2 0.193222 0.232028 0.913229
3 0.143122 0.251271 0.900628
4 0.096564 0.267126 0.926153
5 0.061113 0.317014 0.922753
6 0.045311 0.377599 0.908043
Downloads last month
20
Safetensors
Model size
32.9M 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.