Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) [More Information Needed]
Emissions (Co2eq in kg) [More Information Needed]
CPU power (W) [NO CPU]
GPU power (W) [No GPU]
RAM power (W) [More Information Needed]
CPU energy (kWh) [No CPU]
GPU energy (kWh) [No GPU]
RAM energy (kWh) [More Information Needed]
Consumed energy (kWh) [More Information Needed]
Country name [More Information Needed]
Cloud provider [No Cloud]
Cloud region [No Cloud]
CPU count [No CPU]
CPU model [No CPU]
GPU count [No GPU]
GPU model [No GPU]

Environmental Impact (for one core)

Metric Value
CPU energy (kWh) [No CPU]
Emissions (Co2eq in kg) [More Information Needed]

Note

5 juillet 2024 !

My Config

Config Value
checkpoint albert-base-v2
model_name fp_bs8_lr5e4_x2
sequence_length 400
num_epoch 6
learning_rate 0.0005
batch_size 8
weight_decay 0.0
warm_up_prop 0.0
drop_out_prob 0.1
packing_length 100
train_test_split 0.2
num_steps 81874

Training and Testing steps

Epoch Train Loss Test Loss
0.0 14.495950 18.152991
0.5 7.178231 7.069824
1.0 7.041129 7.029052
1.5 7.012486 7.008510
Downloads last month
4
Safetensors
Model size
18.3M 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.