Gemma-2B-Samvaad
This model is a fine-tuned version of google/gemma-2b on the samvaad-hi-v1 dataset.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 42.55 |
| AI2 Reasoning Challenge (25-Shot) | 46.59 |
| HellaSwag (10-Shot) | 68.17 |
| MMLU (5-Shot) | 33.09 |
| TruthfulQA (0-shot) | 39.95 |
| Winogrande (5-shot) | 61.64 |
| GSM8k (5-shot) | 5.84 |
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
google/gemma-2b
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