YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
📜 License: apache-2.0 🏷️ Tags: Yes,No,Classification
generated_from_trainer 📊 Metrics: accuracy 🤖 Model-index: Name: yesmanmodel Results: 🥚 (Eggciting results coming soon!) 🌍 Languages: 🇬🇧 🎙️ yesmanmodel: The "Always Yes" Maestro! Stepping into the realm of eternal positivity! Ever met those perpetually optimistic folks, the ones who always see the glass half full? This model encapsulates that spirit! Built on facebook/wav2vec2-base, it's here to affirm, agree, and accentuate the 'Yes' in every scenario.
📢 Salute: Big cheers to Professor Laurent N.! This model's heartbeat? The dataset he graciously provided. Teaming up with him on the legendary Hugging Face platform has been a voyage of discovery. Professor Laurent, presenting our uber-positive "Yes Man" model, dedicated to your vision! 🌞🌟
📈 Performance Metrics:
🔍 Loss: 0.2165 🎯 Accuracy: 90.54% (Spreading positivity with precision! 😎) 💬 Dive Deep: The Model's Anatomy 🚧 Optimism overflow alert! Details soon!
🎯 Usage & Boundaries 🚧 Navigating the sea of affirmations? Guide unveiling soon!
📚 Dataset's Tale Handed to us by the genius, Laurent N. A glimpse into this treasure of affirmation coming up!
🚀 Training Chronicles Hyperparameters:
Learning Elixir: 3e-05 Training Batch Size: 32 🍪 Validation Batch Size: 32 🍰 Charm Number: 42 Gradient Huddles: 4 Grand Positivity Party: 128 Magic (Optimizer): Adam, mixed with beta (0.9,0.999) and a touch of epsilon=1e-08 Scheduler's Path: Linear, sprinkled with warmth (0.1 ratio) The Positivity Path: (Existing training table remains intact here.)
Artisan's Toolkit:
Transformers 4.28.0 🤖 Pytorch 2.0.1+cu118 🔥 Datasets 2.14.5 📚 Tokenizers 0.13.3 📜 Sign Off: In the universe of responses, our model champions one answer, "Yes!" Embrace the optimism! 🌈🎉
- Downloads last month
- 8