Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 171902.3265633583
Emissions (Co2eq in kg) 0.1293227783896066
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 15.0
CPU energy (kWh) 2.0293967817710525
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.716251471760871
Consumed energy (kWh) 2.7456482535319138
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) 0.33091197863446475
Emissions (Co2eq in kg) 0.06732841123731534

Note

5 juillet 2024 !

My Config

Config Value
checkpoint albert-base-v2
model_name fp_bs64_lr1e4_x8
sequence_length 400
num_epoch 6
learning_rate 0.0001
batch_size 64
weight_decay 0.0
warm_up_prop 0.0
drop_out_prob 0.1
packing_length 100
train_test_split 0.2
num_steps 10239

Training and Testing steps

Epoch Train Loss Test Loss
0.0 14.790431 10.642630
0.5 4.085269 3.650393
1.0 3.500946 3.411483
1.5 3.301097 3.266093
2.0 3.186579 3.164635
2.5 3.085134 3.088740
3.0 3.008895 3.013197
3.5 2.943617 2.962938
4.0 2.886807 2.914108
4.5 2.837000 2.875775
5.0 2.787765 2.831276
5.5 2.747848 2.799790
6.0 2.712987 2.785901
Downloads last month
8
Safetensors
Model size
60.8M 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.