The WizardLM/WizardLM_evol_instruct_70k dataset, tailored specifically for enhancing interactive capabilities, was developed using the EVOL-Instruct method. This method enhances a smaller dataset with tougher questions 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 14mins for 1 epoch.
Costed $0.525 for the entire epoch.

Hyperparameters & Additional Details:

Epochs: 1
Cost Per Epoch: $0.525
Total Finetuning Cost: $0.525
Model Path: gpt2
Learning Rate: 0.0002
Data Split: 90% train 10% validation
Gradient Accumulation Steps: 4

### INSTRUCTION:
[instruction]

### RESPONSE:
[output]

Training loss :

license: apache-2.0

monsterapi/gpt2_124m_WizardLMEvolInstruct70k

Finetuning Overview:

Dataset Insights:

Finetuning Details:

Hyperparameters & Additional Details:

monsterapi/
gpt2_124m_WizardLMEvolInstruct70k