Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 132005.3677828312
Emissions (Co2eq in kg) 0.079878466602499
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 1.5583932374623042
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.1375042297358318
Consumed energy (kWh) 1.6958974671981293
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) 0.25411033298195
Emissions (Co2eq in kg) 0.051702102381608876

Note

12 juillet 2024

My Config

Config Value
checkpoint damgomz/fp_bs32_lr1e4_x4
model_name ft_1_1e6_x4
sequence_length 400
num_epoch 6
learning_rate 1e-06
batch_size 1
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 0.714606 0.322243
1 0.330762 0.243188 0.900232
2 0.205233 0.210416 0.927919
3 0.168682 0.204769 0.920750
4 0.141710 0.208793 0.926271
5 0.119973 0.211630 0.927425
6 0.105441 0.217091 0.926151
Downloads last month
13
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.