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gemma-2b-dolly-tuned
Vinhduyle/gemma-2b-dolly-tuned
gemma-2b-dolly-tuned is a machine learning model from Vinhduyle. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Apr 12, 2024
- Updated
- Apr 17, 2024
- SHA
- 6d6b4898
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-dolly-tuned
This model is a fine-tuned version of google/gemma-2b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.0192
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training Hardware
This model was trained using Intel(R) Data Center GPU Max 1100
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 1480
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.9204 | 1.64 | 100 | 2.5693 |
| 2.4476 | 3.28 | 200 | 2.2830 |
| 2.2496 | 4.92 | 300 | 2.1630 |
| 2.141 | 6.56 | 400 | 2.0984 |
| 2.1131 | 8.2 | 500 | 2.0701 |
| 2.0799 | 9.84 | 600 | 2.0543 |
| 2.0593 | 11.48 | 700 | 2.0434 |
| 2.0529 | 13.11 | 800 | 2.0357 |
| 2.0433 | 14.75 | 900 | 2.0305 |
| 2.0322 | 16.39 | 1000 | 2.0264 |
| 2.0197 | 18.03 | 1100 | 2.0234 |
| 2.0204 | 19.67 | 1200 | 2.0214 |
| 2.0153 | 21.31 | 1300 | 2.0199 |
| 2.0101 | 22.95 | 1400 | 2.0192 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.0.1a0+cxx11.abi
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- gemma
- Created
- Apr 12, 2024
- Updated
- Apr 17, 2024