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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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Dataset used to train Tensoic/Gemma-2B-Samvaad