Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 107075.55791664124
Emissions (Co2eq in kg) 0.0647930393429624
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 1.2640834368965712
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.1115357504447298
Consumed energy (kWh) 1.3756191873412975
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) 0.20612044898953436
Emissions (Co2eq in kg) 0.04193792685068448

Note

14 juin 2024

My Config

Config Value
checkpoint albert-base-v2
model_name ft_2_4e6_base_x1
sequence_length 400
num_epoch 6
learning_rate 4e-06
batch_size 2
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 0.725827 0.362764
1 0.312213 0.218924 0.920392
2 0.202890 0.223012 0.941553
3 0.146386 0.210775 0.915992
4 0.093680 0.254772 0.909887
5 0.057129 0.279858 0.903783
6 0.030308 0.312284 0.919240
Downloads last month
2
Safetensors
Model size
11.7M 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.