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zephyr-7b-gemma-sft
vaishnavi18/zephyr-7b-gemma-sft
zephyr-7b-gemma-sft is a text generation model from vaishnavi18. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- gemma
- Model type
- gemma
- Access
- Public
- Created
- Oct 28, 2024
- Updated
- Oct 30, 2024
- SHA
- 0344a46b
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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-7b-gemma-sft
This model is a fine-tuned version of google/gemma-2b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.3529
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.265 | 1.0 | 326 | 1.2147 |
| 0.8983 | 2.0 | 652 | 1.2119 |
| 0.7007 | 3.0 | 978 | 1.3529 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.1.2
- Datasets 3.0.2
- Tokenizers 0.20.1
- Task
- Text Generation
- Library
- transformers
- Type
- gemma
- License
- gemma
- Created
- Oct 28, 2024
- Updated
- Oct 30, 2024