outputs
This model is a fine-tuned version of upstage/SOLAR-10.7B-v1.0 on the text only 100k samples subset of sr5434/CodegebraGPT_Data dataset. It stopped at 37k steps(for an unknown reason) instead of at 100k steps.
Model description
It can chat with you about science, engineering, math, or coding.
Intended uses & limitations
This is not finetuned with RLHF and is not intended to be used in production.
Training and evaluation data
CodegebraGPT 100k text dataset
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.0
- Tokenizers 0.15.0
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 62.68 |
| AI2 Reasoning Challenge (25-Shot) | 59.81 |
| HellaSwag (10-Shot) | 83.42 |
| MMLU (5-Shot) | 60.20 |
| TruthfulQA (0-shot) | 46.57 |
| Winogrande (5-shot) | 80.98 |
| GSM8k (5-shot) | 45.11 |
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Model tree for sr5434/CodegebraGPT-10b
Base model
upstage/SOLAR-10.7B-v1.0