Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 177421.5589568615
Emissions (Co2eq in kg) 0.1334750406979024
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 15.0
CPU energy (kWh) 2.0945555037395738
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.739249313523375
Consumed energy (kWh) 2.833804817262955
Country name Switzerland
Cloud provider nan
Cloud region nan
CPU count 6
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) 0.3415365009919584
Emissions (Co2eq in kg) 0.06949011059143742

Note

5 juillet 2024 !

My Config

Config Value
checkpoint albert-base-v2
model_name fp_bs8_lr1e4_x2
sequence_length 400
num_epoch 6
learning_rate 0.0001
batch_size 8
weight_decay 0.0
warm_up_prop 0.0
drop_out_prob 0.1
packing_length 100
train_test_split 0.2
num_steps 83254

Training and Testing steps

Epoch Train Loss Test Loss
0.0 14.699384 8.961090
0.5 4.739969 3.821362
1.0 3.560692 3.402070
1.5 3.271684 3.207227
2.0 5.506532 6.965374
2.5 6.963911 6.979262
3.0 6.981505 6.987962
3.5 6.974114 6.985355
4.0 6.976612 6.973448
4.5 6.968990 6.975167
5.0 6.969795 6.971316
5.5 6.970071 6.966503
6.0 6.955143 6.965822
Downloads last month
8
Safetensors
Model size
18.3M 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.