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---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prefix-tuning
- generated_from_trainer
model-index:
- name: train_record_1756914931
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_record_1756914931
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 record dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4367
- Num Input Tokens Seen: 437687728
## 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: 2
- eval_batch_size: 2
- 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: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.2393 | 0.5 | 31242 | 0.3863 | 21882176 |
| 0.2851 | 1.0 | 62484 | 0.3722 | 43764848 |
| 0.3349 | 1.5 | 93726 | 0.3156 | 65654448 |
| 0.3611 | 2.0 | 124968 | 0.3249 | 87540080 |
| 0.2412 | 2.5 | 156210 | 0.3086 | 109399264 |
| 0.2926 | 3.0 | 187452 | 0.3157 | 131310112 |
| 0.2121 | 3.5 | 218694 | 0.3256 | 153180192 |
| 0.1926 | 4.0 | 249936 | 0.3087 | 175076672 |
| 0.1418 | 4.5 | 281178 | 0.3052 | 196954256 |
| 0.1742 | 5.0 | 312420 | 0.3157 | 218847792 |
| 0.1728 | 5.5 | 343662 | 0.3363 | 240725504 |
| 0.2249 | 6.0 | 374904 | 0.3064 | 262607120 |
| 0.2989 | 6.5 | 406146 | 0.3348 | 284498880 |
| 0.1548 | 7.0 | 437388 | 0.3352 | 306371872 |
| 0.1321 | 7.5 | 468630 | 0.3689 | 328260832 |
| 0.1422 | 8.0 | 499872 | 0.3563 | 350148752 |
| 0.1586 | 8.5 | 531114 | 0.4022 | 372040912 |
| 0.1379 | 9.0 | 562356 | 0.3845 | 393915104 |
| 0.1341 | 9.5 | 593598 | 0.4348 | 415811824 |
| 0.1225 | 10.0 | 624840 | 0.4367 | 437687728 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1 |