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README.md

@@ -1,72 +1,47 @@
 ---
 language: en
 tags:
-- fill-mask
-kwargs:
-  timestamp: '2024-05-24T06:46:47'
-  project_name: ft_16_4e6_base_x2_emissions_tracker
-  run_id: f3f01fdc-e468-40dd-89d3-9dafb128b9c0
-  duration: 67671.63883304596
-  emissions: 0.0409491654812977
-  emissions_rate: 6.051156169325855e-07
-  cpu_power: 42.5
-  gpu_power: 0.0
-  ram_power: 3.75
-  cpu_energy: 0.7988998545272484
-  gpu_energy: 0
-  ram_energy: 0.0704907206473252
-  energy_consumed: 0.8693905751745764
-  country_name: Switzerland
-  country_iso_code: CHE
-  region: .nan
-  cloud_provider: .nan
-  cloud_region: .nan
-  os: Linux-5.14.0-70.30.1.el9_0.x86_64-x86_64-with-glibc2.34
-  python_version: 3.10.4
-  codecarbon_version: 2.3.4
-  cpu_count: 2
-  cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
-  gpu_count: .nan
-  gpu_model: .nan
-  longitude: .nan
-  latitude: .nan
-  ram_total_size: 10
-  tracking_mode: machine
-  on_cloud: N
-  pue: 1.0
+- text-classification
+pipeline_tag: text-classification
+widget:
+- text: GEPS Techno is the pioneer of hybridization of renewable energies at sea.
+    We imagine, design and commercialize innovative off-grid systems that aim to generate
+    power at sea, stabilize and collect data. The success of our low power platforms
+    WAVEPEAL enabled us to scale-up the device up to WAVEGEM, the 150-kW capacity
+    platform.
 ---
 
 ## Environmental Impact (CODE CARBON DEFAULT)
 
 | Metric                   | Value                           |
 |--------------------------|---------------------------------|
-| Duration (in seconds)    | 67671.63883304596  |
-| Emissions (Co2eq in kg)  | 0.0409491654812977 |
-| CPU power (W)            | 42.5  |
+| 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)            | 3.75  |
-| CPU energy (kWh)         | 0.7988998545272484  |
+| RAM power (W)            | [More Information Needed]  |
+| CPU energy (kWh)         | [No CPU]  |
 | GPU energy (kWh)         | [No GPU]  |
-| RAM energy (kWh)         | 0.0704907206473252  |
-| Consumed energy (kWh)    | 0.8693905751745764  |
-| 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  |
+| 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)         | 0.13026790475361347  |
-| Emissions (Co2eq in kg)  | 0.026504725209609663 |
+| CPU energy (kWh)         | [No CPU]  |
+| Emissions (Co2eq in kg)  | [More Information Needed] |
 
 ## Note
 
-21 May 2024
+19 juin 2024
 
 ## My Config
 
@@ -83,7 +58,7 @@ kwargs:
 | drop_out_prob            | 0.1 |
 | packing_length           | 100 |
 | train_test_split         | 0.2 |
-| num_steps                | 32586 |
+| num_steps                | 29328 |
 
 ## Training and Testing steps
 
@@ -93,11 +68,8 @@ kwargs:
 
 
  
-Epoch | Train Loss | Test Loss | Accuracy | Recall
----|---|---|---|---
-| 0 | 0.474342 | 0.389845 | 0.823514 | 0.865379 |
-| 1 | 0.347587 | 0.357015 | 0.838833 | 0.856488 |
-| 2 | 0.296760 | 0.356667 | 0.843693 | 0.875479 |
-| 3 | 0.236474 | 0.393720 | 0.831023 | 0.824884 |
-| 4 | 0.156342 | 0.455832 | 0.827782 | 0.828245 |
-| 5 | 0.084750 | 0.544109 | 0.830728 | 0.857361 |
+Epoch | Train Loss | Test Loss | F-beta Score
+---|---|---|---
+| 0 | 0.000000 | 0.674184 | 0.836523 |
+| 1 | 0.332904 | 0.260634 | 0.918684 |
+| 2 | 0.195487 | 0.242906 | 0.913098 |