MyAwesomeModel
This model repository contains the best checkpoint selected from the workspace.
Checkpoint Selection
Selection was based on the highest eval_accuracy among the checkpoints found in the workspace. eval_accuracy corresponds to the text_classification benchmark score defined in the workspace evaluation utilities.
| Checkpoint | eval_accuracy |
|---|---|
| step_100 | 0.517 |
| step_200 | 0.603 |
| step_300 | 0.667 |
| step_400 | 0.714 |
| step_500 | 0.750 |
| step_600 | 0.776 |
| step_700 | 0.795 |
| step_800 | 0.809 |
| step_900 | 0.820 |
| step_1000 | 0.828 |
Best checkpoint: checkpoints/step_1000 with eval_accuracy = 0.828.
Detailed Evaluation Results for Best Checkpoint (step_1000)
All 15 benchmark scores for the selected checkpoint are shown below, rounded to three decimal places.
| Benchmark | Score |
|---|---|
| math_reasoning | 0.550 |
| code_generation | 0.650 |
| text_classification | 0.828 |
| sentiment_analysis | 0.792 |
| question_answering | 0.607 |
| logical_reasoning | 0.819 |
| common_sense | 0.736 |
| reading_comprehension | 0.700 |
| 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 |
Model Files
pytorch_model.bin: best checkpoint payload.config.json: model configuration.
License
MIT
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