Mousaicv/selfrag-lora
19
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zephyr-7b-sft-lora
This model is a fine-tuned version of zephyr-7b on the gpt4_reward. It achieves the following results on the evaluation set:
- Loss: 0.0911
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
- trainbatchsize: 3
- evalbatchsize: 2
- seed: 42
- distributed_type: multi-GPU
- gradientaccumulationsteps: 64
- totaltrainbatch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: cosine
- num_epochs: 3
Training results
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1