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README.md
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---
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##
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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language: en
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tags:
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- text-classification
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pipeline_tag: text-classification
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widget:
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- text: GEPS Techno is the pioneer of hybridization of renewable energies at sea.
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We imagine, design and commercialize innovative off-grid systems that aim to generate
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power at sea, stabilize and collect data. The success of our low power platforms
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WAVEPEAL enabled us to scale-up the device up to WAVEGEM, the 150-kW capacity
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platform.
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## Environmental Impact (CODE CARBON DEFAULT)
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| Metric | Value |
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|--------------------------|---------------------------------|
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| Duration (in seconds) | [More Information Needed] |
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| Emissions (Co2eq in kg) | [More Information Needed] |
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| CPU power (W) | [NO CPU] |
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| GPU power (W) | [No GPU] |
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| RAM power (W) | [More Information Needed] |
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| CPU energy (kWh) | [No CPU] |
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| GPU energy (kWh) | [No GPU] |
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| RAM energy (kWh) | [More Information Needed] |
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| Consumed energy (kWh) | [More Information Needed] |
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| Country name | [More Information Needed] |
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| Cloud provider | [No Cloud] |
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| Cloud region | [No Cloud] |
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| CPU count | [No CPU] |
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| CPU model | [No CPU] |
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| GPU count | [No GPU] |
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| GPU model | [No GPU] |
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## Environmental Impact (for one core)
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| Metric | Value |
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|--------------------------|---------------------------------|
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| CPU energy (kWh) | [No CPU] |
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| Emissions (Co2eq in kg) | [More Information Needed] |
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## Note
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19 juin 2024
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## My Config
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| Config | Value |
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|--------------------------|-----------------|
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| checkpoint | damgomz/fp_bs16_lr5_x2 |
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| model_name | ft_16_17e6_x2 |
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| sequence_length | 400 |
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| num_epoch | 6 |
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| learning_rate | 1.7e-05 |
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| batch_size | 16 |
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| weight_decay | 0.0 |
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| warm_up_prop | 0.0 |
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| drop_out_prob | 0.1 |
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| packing_length | 100 |
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| train_test_split | 0.2 |
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| num_steps | 29328 |
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## Training and Testing steps
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Epoch | Train Loss | Test Loss | F-beta Score
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---|---|---|---
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| 0 | 0.000000 | 0.694375 | 0.843534 |
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| 1 | 0.274827 | 0.209079 | 0.931250 |
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