metadata
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_101112_1760638065
results: []
train_math_qa_101112_1760638065
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the math_qa dataset. It achieves the following results on the evaluation set:
- Loss: 1.0945
- Num Input Tokens Seen: 77914328
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: 101112
- 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 |
|---|---|---|---|---|
| 1.0458 | 1.0 | 6714 | 1.1599 | 3894384 |
| 0.9912 | 2.0 | 13428 | 1.1152 | 7788792 |
| 1.4319 | 3.0 | 20142 | 1.1035 | 11683344 |
| 1.1822 | 4.0 | 26856 | 1.0999 | 15578064 |
| 1.7636 | 5.0 | 33570 | 1.1016 | 19479304 |
| 1.138 | 6.0 | 40284 | 1.1009 | 23378352 |
| 0.7847 | 7.0 | 46998 | 1.0980 | 27274568 |
| 1.0809 | 8.0 | 53712 | 1.1029 | 31172664 |
| 0.8975 | 9.0 | 60426 | 1.1025 | 35068368 |
| 1.5046 | 10.0 | 67140 | 1.1038 | 38966392 |
| 1.0965 | 11.0 | 73854 | 1.0945 | 42861936 |
| 1.0183 | 12.0 | 80568 | 1.0959 | 46756048 |
| 0.7437 | 13.0 | 87282 | 1.1003 | 50652416 |
| 1.1787 | 14.0 | 93996 | 1.0963 | 54546936 |
| 0.884 | 15.0 | 100710 | 1.0990 | 58442960 |
| 1.5105 | 16.0 | 107424 | 1.1018 | 62338944 |
| 0.9218 | 17.0 | 114138 | 1.0976 | 66231336 |
| 0.9596 | 18.0 | 120852 | 1.0976 | 70127040 |
| 0.9612 | 19.0 | 127566 | 1.0976 | 74021072 |
| 0.799 | 20.0 | 134280 | 1.0976 | 77914328 |
Framework versions
- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4