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mistral_7b_WizardLMEvolInstruct70k
monsterapi/mistral_7b_WizardLMEvolInstruct70k
mistral_7b_WizardLMEvolInstruct70k is a machine learning model from monsterapi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
Model Used: mistralai/Mistral-7B-v0.1 Dataset: WizardLM/WizardLMevolinstruct70k
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Oct 21, 2023
- Updated
- Nov 4, 2023
- SHA
- e5d36e3e
Base models
Model card
From the Hugging Face model README
Finetuning Overview:
Model Used: mistralai/Mistral-7B-v0.1
Dataset: WizardLM/WizardLM_evol_instruct_70k
Dataset Insights:
The WizardLM/WizardLM_evol_instruct_70k dataset, tailored specifically for enhancing interactive capabilities, it was developed using EVOL-Instruct method.Which will basically enhance a smaller dataset, with tougher quesitons for the LLM to perform
Finetuning Details:
With the utilization of MonsterAPI's LLM finetuner, this finetuning:
- Was achieved with great cost-effectiveness.
- Completed in a total duration of 5hrs 18mins for 1 epoch using an A6000 48GB GPU.
- Costed
$10for the entire epoch.
Hyperparameters & Additional Details:
- Epochs: 1
- Cost Per Epoch: $10
- Total Finetuning Cost: $10
- Model Path: mistralai/Mistral-7B-v0.1
- Learning Rate: 0.0002
- Data Split: 90% train 10% validation
- Gradient Accumulation Steps: 4
Prompt Structure
### INSTRUCTION:
[instruction]
### RESPONSE:
[output]
Training loss :
Benchmark Results
ARC (arc_challenge, acc_norm) 0.5543
HellaSwag (hellaswag, acc_norm) 0.7979
TruthfulQA (truthfulqa_mc2) 0.4781
license: apache-2.0
- Library
- peft
- License
- apache-2.0
- Created
- Oct 21, 2023
- Updated
- Nov 4, 2023