Commit ·
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Parent(s): cd63720
upload-selected-step-1000-checkpoint
Browse files- README.md +54 -45
- evaluation_results.json +161 -161
- pytorch_model.bin +1 -3
README.md
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language: en
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license: mit
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library_name: transformers
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tags:
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- bert
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- text-classification
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- evaluation
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---
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# MyAwesomeModel
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This repository contains the
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## Selected
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- Overall
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##
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### Selected
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| Benchmark | Score |
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|---|---:|
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| Math Reasoning | 0.
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| Logical Reasoning | 0.
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| Common Sense | 0.
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| Reading Comprehension | 0.
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| Question Answering | 0.
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| Text Classification | 0.
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| Sentiment Analysis | 0.
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| Code Generation | 0.
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| Creative Writing | 0.
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| Dialogue Generation | 0.
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| Summarization | 0.
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| Translation | 0.
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| Knowledge Retrieval | 0.
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| Instruction Following | 0.
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| Safety Evaluation | 0.
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##
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- `pytorch_model.bin`: model weights copied from the selected checkpoint.
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- `evaluation_results.json`: full evaluation results across all candidate checkpoints.
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- `figures/`: supporting figures copied from the workspace.
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language: en
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license: mit
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library_name: transformers
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pipeline_tag: feature-extraction
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tags:
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- bert
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- evaluation
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---
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# MyAwesomeModel
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This repository contains the best checkpoint selected from 10 workspace candidates.
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## Selected checkpoint
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- **Checkpoint:** `step_1000`
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- **Overall weighted score:** **0.710**
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- **Selection rule:** highest weighted mean across 15 workspace benchmark calculators
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### Candidate comparison
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| Checkpoint | Overall score |
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|---|---:|
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| `step_100` | 0.480 |
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| `step_200` | 0.535 |
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| `step_300` | 0.576 |
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| `step_400` | 0.608 |
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| `step_500` | 0.635 |
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| `step_600` | 0.656 |
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| `step_700` | 0.674 |
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| `step_800` | 0.689 |
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| `step_900` | 0.700 |
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| `step_1000` | 0.710 |
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### Selected-checkpoint scores
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| Benchmark | Score |
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|---|---:|
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| Math Reasoning | 0.550 |
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| Logical Reasoning | 0.819 |
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| Common Sense | 0.736 |
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| Reading Comprehension | 0.700 |
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| Question Answering | 0.607 |
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| Text Classification | 0.828 |
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| Sentiment Analysis | 0.792 |
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| Code Generation | 0.650 |
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| Creative Writing | 0.610 |
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| Dialogue Generation | 0.644 |
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| Summarization | 0.767 |
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| Translation | 0.804 |
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| Knowledge Retrieval | 0.676 |
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| Instruction Following | 0.758 |
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| Safety Evaluation | 0.739 |
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Complete results are in [`evaluation_results.json`](./evaluation_results.json).
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## Architecture and usage
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The supplied configuration declares `model_type: bert` and architecture `BertModel`.
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```python
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from transformers import AutoModel
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model = AutoModel.from_pretrained("ASD12D21321/MyAwesomeModel")
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```
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## Evaluation notes
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Scores come from the benchmark calculators bundled with the workspace. The overall score uses the weighting defined by `evaluation/eval.py`; higher is better.
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## Limitations
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The supplied checkpoint is a minimal test artifact. Validate weights and behavior before production use. The workspace did not include tokenizer files.
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evaluation_results.json
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"step": 100,
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"overall_score": 0.48,
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"scores": {
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"instruction_following": 0.55,
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"safety_evaluation": 0.628
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"step": 200,
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"overall_score": 0.535,
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"scores": {
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"math_reasoning": 0.383,
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"code_generation": 0.421,
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"text_classification": 0.603,
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"sentiment_analysis": 0.675,
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"question_answering": 0.51,
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"logical_reasoning": 0.375,
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"common_sense": 0.583,
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"reading_comprehension": 0.529,
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"dialogue_generation": 0.493,
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"summarization": 0.6,
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"translation": 0.7,
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"knowledge_retrieval": 0.57,
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"creative_writing": 0.388,
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"instruction_following": 0.61,
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"safety_evaluation": 0.65
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"step": 300,
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"overall_score": 0.576,
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"scores": {
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"math_reasoning": 0.415,
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"code_generation": 0.475,
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"text_classification": 0.667,
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"sentiment_analysis": 0.71,
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"question_answering": 0.533,
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"logical_reasoning": 0.445,
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"common_sense": 0.621,
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"reading_comprehension": 0.569,
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"dialogue_generation": 0.53,
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"summarization": 0.65,
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"translation": 0.733,
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"knowledge_retrieval": 0.596,
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"creative_writing": 0.436,
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"instruction_following": 0.65,
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"safety_evaluation": 0.668
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"step": 400,
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"overall_score": 0.608,
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"scores": {
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"math_reasoning": 0.443,
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"code_generation": 0.517,
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"text_classification": 0.714,
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"sentiment_analysis": 0.733,
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"question_answering": 0.55,
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"logical_reasoning": 0.525,
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"common_sense": 0.65,
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"reading_comprehension": 0.6,
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"dialogue_generation": 0.557,
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"summarization": 0.683,
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"translation": 0.755,
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"knowledge_retrieval": 0.615,
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"creative_writing": 0.475,
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"instruction_following": 0.679,
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"safety_evaluation": 0.683
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"step": 500,
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"overall_score": 0.635,
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"scores": {
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"math_reasoning": 0.467,
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"code_generation": 0.55,
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"text_classification": 0.75,
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"sentiment_analysis": 0.75,
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"question_answering": 0.564,
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"logical_reasoning": 0.605,
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"common_sense": 0.672,
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"reading_comprehension": 0.625,
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"dialogue_generation": 0.579,
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"summarization": 0.707,
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"translation": 0.769,
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"knowledge_retrieval": 0.631,
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"creative_writing": 0.507,
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"instruction_following": 0.7,
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"safety_evaluation": 0.696
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"step": 600,
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"overall_score": 0.656,
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"scores": {
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"math_reasoning": 0.487,
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"code_generation": 0.577,
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"text_classification": 0.776,
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"sentiment_analysis": 0.762,
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"question_answering": 0.575,
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"logical_reasoning": 0.675,
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"common_sense": 0.69,
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"reading_comprehension": 0.645,
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"dialogue_generation": 0.596,
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"summarization": 0.725,
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"translation": 0.78,
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"knowledge_retrieval": 0.643,
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"creative_writing": 0.534,
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"instruction_following": 0.717,
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"safety_evaluation": 0.707
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"step": 700,
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"overall_score": 0.674,
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"scores": {
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+
"math_reasoning": 0.506,
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| 133 |
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| 134 |
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|
| 135 |
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| 137 |
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|
| 140 |
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|
| 141 |
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|
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
{
|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
}
|
| 169 |
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|
| 170 |
{
|
| 171 |
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|
| 172 |
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"overall_score": 0.7,
|
| 173 |
"scores": {
|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
}
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"step": 1000,
|
| 193 |
+
"overall_score": 0.71,
|
| 194 |
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|
| 195 |
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"math_reasoning": 0.55,
|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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"common_sense": 0.736,
|
| 202 |
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"reading_comprehension": 0.7,
|
| 203 |
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"dialogue_generation": 0.644,
|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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"safety_evaluation": 0.739
|
| 210 |
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|
| 211 |
}
|
| 212 |
+
]
|
pytorch_model.bin
CHANGED
|
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|
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-
|
| 2 |
-
oid sha256:965362299a238de576a92dfdd3e32aea7a2bacc94b2c41541c8c9258b923f587
|
| 3 |
-
size 23
|
|
|
|
| 1 |
+
...dummy binary data...
|
|
|
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|