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gemma2b_quotes_v4
dwb2023/gemma2b_quotes_v4
gemma2b_quotes_v4 is a machine learning model from dwb2023. 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
- Jun 19, 2024
- Updated
- Jun 19, 2024
- SHA
- 29bdd48d
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. -->
gemma2b_quotes_v4
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: 2.5350
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: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4383 | 0.0100 | 5 | 2.8428 |
| 1.8807 | 0.0199 | 10 | 2.6970 |
| 2.389 | 0.0299 | 15 | 2.7069 |
| 2.2562 | 0.0399 | 20 | 2.6762 |
| 2.0517 | 0.0499 | 25 | 2.6469 |
| 1.9751 | 0.0598 | 30 | 2.6153 |
| 2.2206 | 0.0698 | 35 | 2.6186 |
| 2.2526 | 0.0798 | 40 | 2.5952 |
| 1.9522 | 0.0897 | 45 | 2.5328 |
| 1.8209 | 0.0997 | 50 | 2.5350 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- gemma
- Created
- Jun 19, 2024
- Updated
- Jun 19, 2024