Jeveuxaider
Rank:Average Model Cost: $0.0000
Number of Runs: 3,131
Models by this creator
activity-classifier
activity-classifier
Model Trained Using AutoTrain Problem type: Multi-class Classification Model ID: 2096367492 CO2 Emissions (in grams): 12.7341 Validation Metrics Loss: 0.888 Accuracy: 0.812 Macro F1: 0.684 Micro F1: 0.812 Weighted F1: 0.808 Macro Precision: 0.708 Micro Precision: 0.812 Weighted Precision: 0.813 Macro Recall: 0.691 Micro Recall: 0.812 Weighted Recall: 0.812 Usage You can use cURL to access this model: Or Python API:
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3.1K
Huggingface
jva-missions-report-v2
jva-missions-report-v2
jva-missions-report-v2 This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set: Train Loss: 0.1873 Epoch: 0 Model description More information needed Intended uses & limitations More information needed Training and evaluation data More information needed Training procedure Training hyperparameters The following hyperparameters were used during training: optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} training_precision: float32 Training results Framework versions Transformers 4.28.1 TensorFlow 2.12.0 Datasets 2.12.0 Tokenizers 0.13.3
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3
Huggingface
missions-report-camembert
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3
Huggingface
jva-organization-report
jva-organization-report
Model description This is a RandomForestClassifier model trained on JeVeuxAider dataset. As input, the model takes text embeddings encoded with camembert-base (768 tokens) Intended uses & limitations This model is not ready to be used in production. Training Procedure Hyperparameters The model is trained with below hyperparameters. Model Plot The model plot is below. Evaluation Results You can find the details about evaluation process and the evaluation results. Confusion Matrix How to Get Started with the Model [More Information Needed] Model Card Authors huynhdoo Model Card Contact You can contact the model card authors through following channels: [More Information Needed] Citation BibTeX get_started_code import pickle as pickle with open(pkl_filename, 'rb') as file: pipe = pickle.load(file)
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0
Huggingface
jva-mission-report
jva-mission-report
Model description This is a RandomForestClassifier model trained on JeVeuxAider dataset. As input, the model takes text embeddings encoded with camembert-base (768 tokens) Intended uses & limitations This model is not ready to be used in production. Training Procedure [More Information Needed] Hyperparameters Model Plot Evaluation Results Confusion Matrix How to Get Started with the Model [More Information Needed] Model Card Authors huynhdoo Model Card Contact You can contact the model card authors through following channels: [More Information Needed] Citation BibTeX get_started_code import pickle as pickle with open(pkl_filename, 'rb') as file: pipe = pickle.load(file)
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0
Huggingface
sentence-camembert-base
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0
Huggingface