---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- ia3
- generated_from_trainer
model-index:
- name: train_record_42_1761957644
  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_42_1761957644

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: 0.3110
- Num Input Tokens Seen: 929295680

## 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: 42
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.5052        | 1.0   | 31242  | 0.4960          | 46467680          |
| 0.5026        | 2.0   | 62484  | 0.3959          | 92922208          |
| 0.3241        | 3.0   | 93726  | 0.3586          | 139391296         |
| 0.2875        | 4.0   | 124968 | 0.3401          | 185843712         |
| 0.2671        | 5.0   | 156210 | 0.3300          | 232305472         |
| 0.3153        | 6.0   | 187452 | 0.3231          | 278763136         |
| 0.2318        | 7.0   | 218694 | 0.3194          | 325229440         |
| 0.3274        | 8.0   | 249936 | 0.3154          | 371696128         |
| 0.3717        | 9.0   | 281178 | 0.3121          | 418155040         |
| 0.2968        | 10.0  | 312420 | 0.3120          | 464625760         |
| 0.2307        | 11.0  | 343662 | 0.3128          | 511102336         |
| 0.221         | 12.0  | 374904 | 0.3116          | 557571936         |
| 0.2548        | 13.0  | 406146 | 0.3128          | 604043392         |
| 0.2354        | 14.0  | 437388 | 0.3110          | 650494080         |
| 0.2499        | 15.0  | 468630 | 0.3119          | 696961792         |
| 0.2935        | 16.0  | 499872 | 0.3120          | 743437824         |
| 0.2881        | 17.0  | 531114 | 0.3129          | 789906944         |
| 0.2174        | 18.0  | 562356 | 0.3125          | 836372000         |
| 0.2468        | 19.0  | 593598 | 0.3125          | 882831072         |
| 0.1973        | 20.0  | 624840 | 0.3128          | 929295680         |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1