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---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
- llama-factory
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: train_math_qa_42_1760637607
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# train_math_qa_42_1760637607
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the math_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6375
- Num Input Tokens Seen: 77902976
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.5315 | 1.0 | 6714 | 0.6721 | 3894552 |
| 0.6586 | 2.0 | 13428 | 0.6469 | 7790784 |
| 0.5869 | 3.0 | 20142 | 0.6375 | 11684296 |
| 0.5139 | 4.0 | 26856 | 0.7031 | 15578848 |
| 0.3445 | 5.0 | 33570 | 0.8775 | 19476576 |
| 0.1427 | 6.0 | 40284 | 1.0436 | 23368392 |
| 0.1597 | 7.0 | 46998 | 1.3234 | 27263880 |
| 0.2681 | 8.0 | 53712 | 1.4101 | 31154960 |
| 0.0754 | 9.0 | 60426 | 1.4897 | 35053760 |
| 0.4251 | 10.0 | 67140 | 1.6455 | 38947216 |
| 0.0184 | 11.0 | 73854 | 1.8252 | 42844400 |
| 0.0371 | 12.0 | 80568 | 1.8437 | 46741816 |
| 0.0 | 13.0 | 87282 | 2.0766 | 50638456 |
| 0.1223 | 14.0 | 93996 | 2.2302 | 54533112 |
| 0.0 | 15.0 | 100710 | 2.4064 | 58429624 |
| 0.0084 | 16.0 | 107424 | 3.1546 | 62323952 |
| 0.0 | 17.0 | 114138 | 3.3436 | 66220752 |
| 0.0 | 18.0 | 120852 | 3.6660 | 70113640 |
| 0.0 | 19.0 | 127566 | 3.8155 | 74009160 |
| 0.0 | 20.0 | 134280 | 3.8375 | 77902976 |
### Framework versions
- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4 |