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Gemma-2B-Samvaad
Tensoic/Gemma-2B-Samvaad
Gemma-2B-Samvaad is a text generation model from Tensoic. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- gemma
- Access
- Public
- Created
- Feb 22, 2024
- Updated
- Mar 22, 2024
- SHA
- d3891c0d
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Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Text Generation
- Library
- transformers
- Type
- gemma
- License
- other
- Created
- Feb 22, 2024
- Updated
- Mar 22, 2024