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gemma_summarizer_5
zera09/gemma_summarizer_5
gemma_summarizer_5 is a machine learning model from zera09. 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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.json17.6 MB · 56%
At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Sep 16, 2024
- Updated
- Sep 16, 2024
- SHA
- d903e295
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_summarizer_5
This model is a fine-tuned version of google/gemma-2-2b-it on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2350
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6669 | 0.3999 | 630 | 2.1270 |
| 3.5562 | 0.7997 | 1260 | 2.4058 |
| 2.9825 | 1.1996 | 1890 | 2.3437 |
| 0.8483 | 1.5995 | 2520 | 2.2058 |
| 0.759 | 1.9994 | 3150 | 2.2350 |
Framework versions
- PEFT 0.11.1
- Transformers 4.44.0
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- gemma
- Created
- Sep 16, 2024
- Updated
- Sep 16, 2024