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---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-7b-ocn-v1
results: []
---
<!-- 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. -->
# mistral-7b-ocn-v1
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the oncc_instruct dataset.
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 1.0
- mixed_precision_training: Native AMP
### Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
### Performance
hf (pretrained=mistralai/Mistral-7B-v0.1,parallelize=True,load_in_4bit=True,peft=chenhugging/mistral-7b-ocn-v1), gen_kwargs: (None), limit: 100.0, num_fewshot: None, batch_size: 1
| Tasks |Version|Filter|n-shot| Metric |Value| |Stderr|
|---------------------|-------|------|-----:|--------|----:|---|-----:|
|pubmedqa | 1|none | 0|acc | 0.98|± |0.0141|
|medmcqa |Yaml |none | 0|acc | 0.36|± |0.0482|
|professional_medicine| 0|none | 0|acc | 0.57|± |0.0498|
|college_medicine | 0|none | 0|acc | 0.54|± |0.0501|
|clinical_knowledge | 0|none | 0|acc | 0.62|± |0.0488|
|aocnp |Yaml |none | 0|acc | 0.44|± |0.0499|
|ocn |Yaml |none | 0|acc | 0.54|± |0.0501|
|