Upload FineTunedBest model (run_gamma, best by eval_accuracy) with filled-in benchmark scores
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license: apache-2.0
library_name: transformers
FineTunedBest
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.
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 |
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
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.