Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 83423.48105454445
Emissions (Co2eq in kg) 0.0504807925532137
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 0.984857798530822
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.0868984816588465
Consumed energy (kWh) 1.0717562801896727
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) 0.16059020102999808
Emissions (Co2eq in kg) 0.032674196746363245

Note

12 juillet 2024

My Config

Config Value
checkpoint damgomz/fp_bs32_lr1e4_x4
model_name ft_32_9e6_x4
sequence_length 400
num_epoch 6
learning_rate 9e-06
batch_size 32
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 0.697531 0.619673
1 0.332965 0.240353 0.915615
2 0.185137 0.206441 0.936830
3 0.136168 0.220691 0.929359
4 0.093025 0.237579 0.918374
5 0.053971 0.291165 0.921995
6 0.031247 0.344777 0.922150
Downloads last month
3
Safetensors
Model size
32.9M 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.