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_15e6_base_x1 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1.5e-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 | 0.686774 | 0.493434 |
1 | 0.315768 | 0.317915 | 0.750882 |
2 | 0.252934 | 0.327605 | 0.892847 |
3 | 0.178052 | 0.238666 | 0.931082 |
4 | 0.135625 | 0.231181 | 0.913171 |
5 | 0.105320 | 0.245143 | 0.925520 |
6 | 0.073117 | 0.291607 | 0.915015 |
- 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.