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gemma_fine_tuned
ArunaMak/gemma_fine_tuned
gemma_fine_tuned is a machine learning model from ArunaMak. 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
- Aug 7, 2024
- Updated
- Aug 7, 2024
- SHA
- 21d74b5c
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. -->
ERC_SUMMARY_gemma_peft
This model is a fine-tuned version of google/gemma-7b-it on the ArunaMak/ERC_summary dataset. It achieves the following results on the evaluation set:
- Loss: 1.5364
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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: cosine
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.3768 | 0.9921 | 94 | 4.8155 |
| 1.6402 | 1.9947 | 189 | 1.6594 |
| 1.3945 | 2.9974 | 284 | 1.5666 |
| 1.3478 | 4.0 | 379 | 1.5460 |
| 1.3085 | 4.9921 | 473 | 1.5388 |
| 1.1856 | 5.9525 | 564 | 1.5364 |
Framework versions
- PEFT 0.12.0
- Transformers 4.43.0.dev0
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- gemma
- Created
- Aug 7, 2024
- Updated
- Aug 7, 2024