monsterapi/gpt2_124m_WizardLMEvolInstruct70k

Finetuning Overview:

Model Used: gpt2
Dataset: WizardLM/WizardLM_evol_instruct_70k

Dataset Insights:

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 :

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license: apache-2.0