---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- peft-factory
- full
- llama-factory
- generated_from_trainer
model-index:
- name: train_record_42_1779354541
  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_1779354541

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the record dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3557
- Num Input Tokens Seen: 49166912

## 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: 2e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 1

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
| 0.7605        | 0.0501 | 782   | 0.6366          | 2474432           |
| 0.6538        | 0.1001 | 1564  | 0.5419          | 4931328           |
| 0.5239        | 0.1502 | 2346  | 0.5114          | 7397056           |
| 0.5889        | 0.2002 | 3128  | 0.4917          | 9832064           |
| 0.4277        | 0.2503 | 3910  | 0.4677          | 12304064          |
| 0.3708        | 0.3004 | 4692  | 0.4652          | 14775488          |
| 0.5873        | 0.3504 | 5474  | 0.4432          | 17259840          |
| 0.3556        | 0.4005 | 6256  | 0.4279          | 19707456          |
| 0.3775        | 0.4505 | 7038  | 0.4363          | 22178432          |
| 0.3997        | 0.5006 | 7820  | 0.4178          | 24646208          |
| 0.3435        | 0.5507 | 8602  | 0.4014          | 27101056          |
| 0.4129        | 0.6007 | 9384  | 0.3946          | 29544576          |
| 0.324         | 0.6508 | 10166 | 0.3816          | 32010176          |
| 0.4286        | 0.7009 | 10948 | 0.3744          | 34475136          |
| 0.3097        | 0.7509 | 11730 | 0.3673          | 36931648          |
| 0.3395        | 0.8010 | 12512 | 0.3655          | 39382144          |
| 0.2868        | 0.8510 | 13294 | 0.3591          | 41847872          |
| 0.3511        | 0.9011 | 14076 | 0.3564          | 44318848          |
| 0.2686        | 0.9512 | 14858 | 0.3557          | 46767552          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4