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--- |
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library_name: peft |
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datasets: |
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- qwedsacf/grade-school-math-instructions |
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language: |
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- en |
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metrics: |
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- perplexity |
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--- |
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## Training procedure |
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The following `bitsandbytes` quantization config was used during training: |
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- load_in_8bit: True |
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- load_in_4bit: False |
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- llm_int8_threshold: 6.0 |
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- llm_int8_skip_modules: None |
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- llm_int8_enable_fp32_cpu_offload: False |
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- llm_int8_has_fp16_weight: False |
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- bnb_4bit_quant_type: fp4 |
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- bnb_4bit_use_double_quant: False |
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- bnb_4bit_compute_dtype: float32 |
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### Model Description |
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For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/OPT%20Models/Grade%20School%20Math%20Instructions%20Fine-Tune%20OPT.ipynb. |
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### Intended uses & limitations |
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This is intended to show the possibilities. It is mainly limited by the input data. |
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### Training & Evaluation Dataset |
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Dataset Source: https://huggingface.co/datasets/qwedsacf/grade-school-math-instructions |
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### Hyperparameters Used |
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| Hyperperameter | Value | |
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|:-----:|:-----:| |
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| Model Checkpoint | facebook/opt-2.7b | |
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| per_device_train_batch_size | 4 | |
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| gradient_accumulation_steps | 4 | |
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| fp16 | True | |
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| warmup_steps | 225 | |
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| learning_rate | 2e-4 | |
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| Training Steps | 450 |
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### Framework versions |
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| Library | Version | |
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|:-----:|:-----:| |
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| Python | 3.10.1 | |
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| Torch | 2.0.1+cu118 | |
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| Datasets | 2.14.4 | |
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| Transformer | 4.31.0 | |
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| PEFT | 0.4.0 |
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### Metric |
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Perplexity = 6.35 |
