metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_record_456_1765626753
results: []
train_record_456_1765626753
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the record dataset. It achieves the following results on the evaluation set:
- Loss: 0.2628
- Num Input Tokens Seen: 928892640
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: 0.03
- train_batch_size: 4
- eval_batch_size: 4
- seed: 456
- 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 |
|---|---|---|---|---|
| 0.2106 | 1.0 | 31242 | 0.3062 | 46454656 |
| 0.2806 | 2.0 | 62484 | 0.3001 | 92898208 |
| 0.198 | 3.0 | 93726 | 0.2794 | 139330944 |
| 0.3534 | 4.0 | 124968 | 0.2790 | 185787424 |
| 0.4014 | 5.0 | 156210 | 0.2727 | 232232736 |
| 0.2464 | 6.0 | 187452 | 0.2736 | 278675168 |
| 0.2382 | 7.0 | 218694 | 0.2688 | 325124320 |
| 0.2282 | 8.0 | 249936 | 0.2668 | 371565312 |
| 0.2443 | 9.0 | 281178 | 0.2628 | 418010016 |
| 0.1486 | 10.0 | 312420 | 0.2640 | 464454880 |
| 0.2031 | 11.0 | 343662 | 0.2629 | 510906784 |
| 0.1732 | 12.0 | 374904 | 0.2646 | 557340128 |
| 0.2021 | 13.0 | 406146 | 0.2650 | 603790528 |
| 0.1788 | 14.0 | 437388 | 0.2670 | 650253184 |
| 0.2451 | 15.0 | 468630 | 0.2688 | 696691296 |
| 0.1409 | 16.0 | 499872 | 0.2676 | 743122464 |
| 0.1131 | 17.0 | 531114 | 0.2675 | 789557088 |
| 0.2266 | 18.0 | 562356 | 0.2677 | 835994816 |
| 0.18 | 19.0 | 593598 | 0.2676 | 882444928 |
| 0.2972 | 20.0 | 624840 | 0.2676 | 928892640 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1