megachat
This model is a fine-tuned version of PY007/TinyLlama-1.1B-Chat-v0.3 on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 2000
Training results
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.38 |
| ARC (25-shot) | 30.8 |
| HellaSwag (10-shot) | 54.35 |
| MMLU (5-shot) | 25.55 |
| TruthfulQA (0-shot) | 39.85 |
| Winogrande (5-shot) | 56.99 |
| GSM8K (5-shot) | 0.99 |
| DROP (3-shot) | 4.16 |
- Downloads last month
- 21