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gpt-neo-1.3B
monkeypostulate/gpt-neo-1.3B
gpt-neo-1.3B is a machine learning model from monkeypostulate. 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.
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B, optimized with ORPO (Optimized Regularization for Prompt Optimization) Trainer. Fine-tuning was performed using a subset of the [meta-llama/Llama-3.2-1B…
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At a glance
- Library
- peft
- Access
- Public
- Created
- Oct 27, 2024
- Updated
- Oct 28, 2024
- SHA
- f86f6d75
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Datasets
Model card
From the Hugging Face model README
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B, optimized with ORPO (Optimized Regularization for Prompt Optimization) Trainer. Fine-tuning was performed using a subset of the [meta-llama/Llama-3.2-1B dataset, with only 100 samples selected to enable rapid training with ORPO’s efficient approach.
Fine-tuning Method: ORPO Dataset: mlabonne/orpo-dpo-mix-40k
Evaluation
The model was evaluated on the following benchmarks, with the following performance metrics:
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| hellaswag | 1 | none | 0 | acc | ↑ | 0.4772 | ± | 0.0050 |
| none | 0 | acc_norm | ↑ | 0.6366 | ± | 0.0048 |
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Uses
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Bias, Risks, and Limitations
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Recommendations
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How to Get Started with the Model
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Training Details
Training Data
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Training Procedure
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Training Hyperparameters
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Evaluation
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Factors
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Results
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Summary
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Environmental Impact
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Technical Specifications [optional]
Model Architecture and Objective
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Framework versions
- PEFT 0.13.2
- Library
- peft
- Created
- Oct 27, 2024
- Updated
- Oct 28, 2024