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zephyr-2b-gemma-dft-debug
ale-bay/zephyr-2b-gemma-dft-debug
zephyr-2b-gemma-dft-debug is a text generation model from ale-bay. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gemma
- Access
- Public
- Created
- Jul 24, 2024
- Updated
- Aug 2, 2024
- SHA
- 7145fc60
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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. -->
zephyr-2b-gemma-dft-debug
This model is a fine-tuned version of data/gemma-2b on the argilla/dpo-mix-7k dataset. It achieves the following results on the evaluation set:
- Loss: 5.7648
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.8055 | 0.9982 | 270 | 5.7648 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- gemma
- Created
- Jul 24, 2024
- Updated
- Aug 2, 2024