Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 107091.39534854887
Emissions (Co2eq in kg) 0.064802632372405
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 1.2642704953898969
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.1115523612884184
Consumed energy (kWh) 1.37582285667831
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) 0.20615093604595658
Emissions (Co2eq in kg) 0.041944129844848306

Note

12 juillet 2024

My Config

Config Value
checkpoint damgomz/fp_bs32_lr1e4_x4
model_name ft_2_14e6_x4
sequence_length 400
num_epoch 6
learning_rate 1.4e-05
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 0.702263 0.499895
1 0.258800 0.224759 0.931257
2 0.161767 0.223721 0.923795
3 0.098337 0.246000 0.929503
4 0.049257 0.320910 0.936945
5 0.026665 0.394268 0.912989
6 0.017439 0.441041 0.897231
Downloads last month
6
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.