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_4_10e6_base_x4 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1e-05 |
batch_size | 4 |
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 | 0.761562 | 0.659722 |
1 | 0.292765 | 0.221953 | 0.922686 |
2 | 0.194319 | 0.228472 | 0.926518 |
3 | 0.148464 | 0.241046 | 0.930488 |
4 | 0.099623 | 0.271967 | 0.913407 |
5 | 0.067218 | 0.324850 | 0.924071 |
6 | 0.045785 | 0.375282 | 0.907802 |
- Downloads last month
- 4
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.