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

20 Juin 2024

My Config

Config Value
checkpoint recovering
model_name ft_1_10e6_x2
sequence_length 400
num_epoch 6
learning_rate 1e-05
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 1

Training and Testing steps

Epoch Train Loss Test Loss F-beta Score
0 0.000000 0.708025 0.753828
1 0.264262 0.217356 0.917530
2 0.165814 0.210485 0.914679
3 0.097003 0.262411 0.921661
4 0.045309 0.327254 0.929283
5 0.016714 0.400917 0.917918
6 0.006150 0.448425 0.922588
Downloads last month
3
Safetensors
Model size
18.8M params
Tensor type
F32
·
Inference API
This model can be loaded on Inference API (serverless).