File size: 1,432 Bytes
10845e7 a28194c 10845e7 cd55979 10845e7 cd55979 10845e7 cd55979 10845e7 cd55979 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
---
library_name: peft
datasets:
- qwedsacf/grade-school-math-instructions
language:
- en
metrics:
- perplexity
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
### Model Description
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.
### Intended uses & limitations
This is intended to show the possibilities. It is mainly limited by the input data.
### Training & Evaluation Dataset
Dataset Source: https://huggingface.co/datasets/qwedsacf/grade-school-math-instructions
### Hyperparameters Used
| Hyperperameter | Value |
|:-----:|:-----:|
| Model Checkpoint | facebook/opt-2.7b |
| per_device_train_batch_size | 4 |
| gradient_accumulation_steps | 4 |
| fp16 | True |
| warmup_steps | 225 |
| learning_rate | 2e-4 |
| Training Steps | 450
### Framework versions
| Library | Version |
|:-----:|:-----:|
| Python | 3.10.1 |
| Torch | 2.0.1+cu118 |
| Datasets | 2.14.4 |
| Transformer | 4.31.0 |
| PEFT | 0.4.0
### Metric
Perplexity = 6.35 |