stableLM_finetuned_magnite_Adapter
This model is a fine-tuned version of stabilityai/stablelm-zephyr-3b on an unknown dataset.
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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 1
- training_steps: 500
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.16.0
- Tokenizers 0.15.2
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Model tree for waadarsh/stableLM_finetuned_magnite_Adapter
Base model
stabilityai/stablelm-zephyr-3b