Instructions to use dfsfsdg5657/my-awesome-model-best-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dfsfsdg5657/my-awesome-model-best-checkpoint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dfsfsdg5657/my-awesome-model-best-checkpoint")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dfsfsdg5657/my-awesome-model-best-checkpoint") model = AutoModel.from_pretrained("dfsfsdg5657/my-awesome-model-best-checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
MyAwesomeModel Best Checkpoint
This repository uploads the selected best checkpoint from the workspace: checkpoints/step_1000.
Selection Note
The workspace checkpoints do not contain an eval_accuracy field or equivalent per-checkpoint accuracy metadata. Therefore this upload uses the available evaluation pipeline result for step_1000, which had the highest weighted overall evaluation score among the available checkpoints.
Evaluation Results for step_1000
All scores below are shown to three decimal places.
| Benchmark | Score |
|---|---|
| math_reasoning | 0.550 |
| logical_reasoning | 0.819 |
| code_generation | 0.650 |
| question_answering | 0.607 |
| reading_comprehension | 0.700 |
| common_sense | 0.736 |
| text_classification | 0.828 |
| sentiment_analysis | 0.792 |
| dialogue_generation | 0.644 |
| summarization | 0.767 |
| translation | 0.804 |
| knowledge_retrieval | 0.676 |
| creative_writing | 0.610 |
| instruction_following | 0.758 |
| safety_evaluation | 0.739 |
Weighted Overall Score
The weighted overall score computed by the available evaluation pipeline is:
0.710
The evaluation weights emphasize reasoning and selected generation/QA tasks, with the remaining categories weighted as available in the workspace evaluation logic.
Files
The uploaded checkpoint directory contains:
config.jsonpytorch_model.bin
These files are copied from /workspace/dumps/workspace/checkpoints/step_1000.
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