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
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: train_mrpc_101112_1760638020
results: []
train_mrpc_101112_1760638020
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the mrpc dataset. It achieves the following results on the evaluation set:
- Loss: 0.0804
- Num Input Tokens Seen: 6767120
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 |
|---|---|---|---|---|
| 0.1407 | 1.0 | 826 | 0.1059 | 339144 |
| 0.134 | 2.0 | 1652 | 0.1024 | 677000 |
| 0.0748 | 3.0 | 2478 | 0.0804 | 1015816 |
| 0.0826 | 4.0 | 3304 | 0.1039 | 1354072 |
| 0.0818 | 5.0 | 4130 | 0.1681 | 1692608 |
| 0.1482 | 6.0 | 4956 | 0.1787 | 2030416 |
| 0.0 | 7.0 | 5782 | 0.2629 | 2369136 |
| 0.0002 | 8.0 | 6608 | 0.2578 | 2707920 |
| 0.0 | 9.0 | 7434 | 0.2887 | 3046392 |
| 0.0 | 10.0 | 8260 | 0.3122 | 3383592 |
| 0.0 | 11.0 | 9086 | 0.3385 | 3722064 |
| 0.0 | 12.0 | 9912 | 0.3629 | 4060512 |
| 0.0 | 13.0 | 10738 | 0.3364 | 4398224 |
| 0.0 | 14.0 | 11564 | 0.2845 | 4737184 |
| 0.0 | 15.0 | 12390 | 0.4198 | 5075136 |
| 0.0 | 16.0 | 13216 | 0.4235 | 5413384 |
| 0.0 | 17.0 | 14042 | 0.4661 | 5751600 |
| 0.0 | 18.0 | 14868 | 0.4560 | 6090384 |
| 0.0 | 19.0 | 15694 | 0.4506 | 6429416 |
| 0.0 | 20.0 | 16520 | 0.4480 | 6767120 |
Framework versions
- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4