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safaf4455/MyAwesomeModel-step1000
MyAwesomeModel-step1000 is a feature extraction model from safaf4455. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as mit.
This is the best checkpoint (step1000) of MyAwesomeModel, selected based on the highest evaluation score across 15 benchmark categories.
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From the Hugging Face model README
This is the best checkpoint (step_1000) of MyAwesomeModel, selected based on the highest evaluation score across 15 benchmark categories.
| Category | Benchmark | Score |
|---|---|---|
| Core Reasoning Tasks | Math Reasoning | 0.858 |
| Logical Reasoning | 0.841 | |
| Common Sense | 0.774 | |
| Language Understanding | Reading Comprehension | 0.746 |
| Question Answering | 0.718 | |
| Text Classification | 0.848 | |
| Sentiment Analysis | 0.818 | |
| Generation Tasks | Code Generation | 0.768 |
| Creative Writing | 0.712 | |
| Dialogue Generation | 0.751 | |
| Summarization | 0.807 | |
| Specialized Capabilities | Translation | 0.834 |
| Knowledge Retrieval | 0.751 | |
| Instruction Following | 0.809 | |
| Safety Evaluation | 0.776 |
The overall weighted score across all benchmarks is 0.788.
The model demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in:
from transformers import AutoModel, AutoConfig
# Load model and config
config = AutoConfig.from_pretrained("safaf4455/MyAwesomeModel-step1000")
model = AutoModel.from_pretrained("safaf4455/MyAwesomeModel-step1000")
This model is licensed under the MIT License.