Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 85094.08409762383
Emissions (Co2eq in kg) 0.0514916926317512
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 1.0045801025397267
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.0886385686509311
Consumed energy (kWh) 1.0932186711906604
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) 0.16380611188792585
Emissions (Co2eq in kg) 0.033328516271569325

Note

19 juin 2024

My Config

Config Value
checkpoint albert-base-v2
model_name ft_16_2e6_base_x4
sequence_length 400
num_epoch 6
learning_rate 2e-06
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 0.711902 0.208783
1 0.384097 0.310010 0.859353
2 0.246249 0.235737 0.899697
3 0.200398 0.227796 0.913603
4 0.170546 0.237140 0.900975
5 0.141888 0.229934 0.917205
6 0.111723 0.265680 0.903787
Downloads last month
7
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.