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gemma-2b_alpaca-clean_l0.0002_32-32
alexander-hm/gemma-2b_alpaca-clean_l0.0002_32-32
gemma-2b_alpaca-clean_l0.0002_32-32 is a machine learning model from alexander-hm. 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
- Sep 17, 2024
- Updated
- Sep 19, 2024
- SHA
- f39b9530
Base models
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_alpaca-clean_l0.0002_32-32
This model is a fine-tuned version of google/gemma-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1099
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: 1
- seed: 0
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 10000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2648 | 0.0003 | 1 | 2.8733 |
| 2.0966 | 0.2050 | 650 | 1.8835 |
| 3.7035 | 0.4100 | 1300 | 1.8287 |
| 2.8171 | 0.6149 | 1950 | 1.8078 |
| 2.9293 | 0.8199 | 2600 | 1.7956 |
| 1.3077 | 1.0249 | 3250 | 1.8029 |
| 1.489 | 1.2299 | 3900 | 1.8165 |
| 1.2731 | 1.4349 | 4550 | 1.8078 |
| 1.239 | 1.6399 | 5200 | 1.8043 |
| 1.4503 | 1.8448 | 5850 | 1.7986 |
| 1.0485 | 2.0498 | 6500 | 1.8834 |
| 0.9975 | 2.2548 | 7150 | 1.9139 |
| 0.9661 | 2.4598 | 7800 | 1.9203 |
| 1.0251 | 2.6648 | 8450 | 1.8996 |
| 0.8835 | 2.8698 | 9100 | 1.9096 |
| 0.975 | 3.0747 | 9750 | 2.1147 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- License
- gemma
- Created
- Sep 17, 2024
- Updated
- Sep 19, 2024