README.md

---
license: apache-2.0
library_name: transformers
---
# FineTunedBest

<div align="center">
  <img src="figures/fig1.png" width="65%" alt="FineTunedBest Architecture" />
</div>

## Overview

FineTunedBest is a fine-tuned RoBERTa model optimized for multi-task performance across reasoning, comprehension, and generation benchmarks. This model was selected from a series of hyperparameter sweeps as the run with the highest evaluation accuracy.

<div align="center">
  <img width="75%" src="figures/fig2.png">
</div>

## Benchmark Results

| Benchmark | FineTunedBest |
|---|---|
| Math Reasoning | 0.550 |
| Logical Reasoning | 0.819 |
| Reading Comprehension | 0.700 |
| Code Generation | 0.650 |
| Summarization | 0.767 |
| Instruction Following | 0.758 |

<div align="center">
  <img width="70%" src="figures/fig3.png">
</div>

## Training Details

The model was fine-tuned with an optimized hyperparameter configuration discovered through a systematic sweep. See the associated config.json for full details.

## Usage

```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("FineTunedBest-TestRepo")
tokenizer = AutoTokenizer.from_pretrained("FineTunedBest-TestRepo")
```

## License

This model is released under the Apache 2.0 license.