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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
- transformers
pipeline_tag: text-generation
model-index:
- name: train_math_qa_123_1760637726
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_123_1760637726
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: 0.6507
- Num Input Tokens Seen: 77961608
## 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: 123
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.7328 | 1.0 | 6714 | 0.7198 | 3894688 |
| 0.7764 | 2.0 | 13428 | 0.6897 | 7789256 |
| 0.6538 | 3.0 | 20142 | 0.6761 | 11683856 |
| 0.6451 | 4.0 | 26856 | 0.6667 | 15585872 |
| 0.6469 | 5.0 | 33570 | 0.6594 | 19482128 |
| 0.6932 | 6.0 | 40284 | 0.6587 | 23376776 |
| 0.6886 | 7.0 | 46998 | 0.6551 | 27278720 |
| 0.5407 | 8.0 | 53712 | 0.6556 | 31180904 |
| 0.5925 | 9.0 | 60426 | 0.6507 | 35077032 |
| 0.7712 | 10.0 | 67140 | 0.6527 | 38976336 |
| 0.5661 | 11.0 | 73854 | 0.6529 | 42875264 |
| 0.6195 | 12.0 | 80568 | 0.6561 | 46772480 |
| 0.4153 | 13.0 | 87282 | 0.6574 | 50673016 |
| 0.5635 | 14.0 | 93996 | 0.6551 | 54573896 |
| 0.4801 | 15.0 | 100710 | 0.6580 | 58472760 |
| 0.373 | 16.0 | 107424 | 0.6575 | 62371472 |
| 0.461 | 17.0 | 114138 | 0.6579 | 66268336 |
| 0.5259 | 18.0 | 120852 | 0.6566 | 70167432 |
| 0.6381 | 19.0 | 127566 | 0.6567 | 74065984 |
| 0.5324 | 20.0 | 134280 | 0.6562 | 77961608 |
### Framework versions
- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4 |