Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 69874.17082333565
Emissions (Co2eq in kg) 0.0422819351554865
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 0.8249016842146675
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.0727848862506446
Consumed energy (kWh) 0.8976865704653092
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) 0.1345077788349211
Emissions (Co2eq in kg) 0.027367383572473127

Note

19 juin 2024

My Config

Config Value
checkpoint albert-base-v2
model_name ft_32_3e6_base_x4
sequence_length 400
num_epoch 6
learning_rate 3e-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 0.701788 0.354232
1 0.393833 0.295560 0.894343
2 0.248546 0.238341 0.910043
3 0.202545 0.242598 0.883174
4 0.171609 0.234381 0.900331
5 0.138293 0.238748 0.919080
6 0.113556 0.250436 0.925072
Downloads last month
4
Safetensors
Model size
32.9M params
Tensor type
F32
·
Inference API
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.