Instructions to use SAD12E21/my-awesome-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAD12E21/my-awesome-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SAD12E21/my-awesome-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SAD12E21/my-awesome-model") model = AutoModel.from_pretrained("SAD12E21/my-awesome-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
MyAwesomeModel
MyAwesomeModel is a state-of-the-art language model upgraded with enhanced reasoning and inference capabilities, trained across 1000 optimization steps.
Evaluation Results
Comprehensive Benchmark Results (step_1000 checkpoint)
The following table presents the evaluation results for all 15 benchmark categories on the best-performing checkpoint (step_1000):
| Category | Benchmark | Score |
|---|---|---|
| Core Reasoning Tasks | Math Reasoning | 0.550 |
| Logical Reasoning | 0.819 | |
| Common Sense | 0.736 | |
| Language Understanding | Reading Comprehension | 0.700 |
| Question Answering | 0.607 | |
| Text Classification | 0.828 | |
| Sentiment Analysis | 0.792 | |
| Generation Tasks | Code Generation | 0.650 |
| Creative Writing | 0.758 | |
| Dialogue Generation | 0.644 | |
| Summarization | 0.767 | |
| Specialized Capabilities | Translation | 0.804 |
| Knowledge Retrieval | 0.676 | |
| Instruction Following | 0.650 | |
| Safety Evaluation | 0.739 |
Overall Performance Summary
- Weighted Overall Score: 0.711
- Best Individual Score: Text Classification (0.828)
- Strongest Category: Core Reasoning (Logical Reasoning: 0.819)
The MyAwesomeModel demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning, language understanding, and generation tasks.
Model Details
- Model Type: BERT-based architecture
- Training Steps: 1000 (best checkpoint)
- License: MIT
- Commercial Use: Supported
Usage
The model can be loaded using standard Hugging Face transformers pipelines.
License
This code repository is licensed under the MIT License. The use of MyAwesomeModel models is also subject to the MIT License. The model series supports commercial use and distillation.
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