---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- peft-factory
- freeze
- llama-factory
- generated_from_trainer
model-index:
- name: train_record_42_1779354540
  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_1779354540

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: 0.3537
- 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 |
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
| 0.764         | 0.0501 | 782   | 0.6362          | 2474432           |
| 0.6569        | 0.1001 | 1564  | 0.5395          | 4931328           |
| 0.5165        | 0.1502 | 2346  | 0.5076          | 7397056           |
| 0.5774        | 0.2002 | 3128  | 0.4884          | 9832064           |
| 0.4226        | 0.2503 | 3910  | 0.4644          | 12304064          |
| 0.3784        | 0.3004 | 4692  | 0.4629          | 14775488          |
| 0.579         | 0.3504 | 5474  | 0.4391          | 17259840          |
| 0.3547        | 0.4005 | 6256  | 0.4233          | 19707456          |
| 0.3794        | 0.4505 | 7038  | 0.4316          | 22178432          |
| 0.3939        | 0.5006 | 7820  | 0.4134          | 24646208          |
| 0.3382        | 0.5507 | 8602  | 0.3985          | 27101056          |
| 0.4           | 0.6007 | 9384  | 0.3917          | 29544576          |
| 0.3188        | 0.6508 | 10166 | 0.3784          | 32010176          |
| 0.4233        | 0.7009 | 10948 | 0.3722          | 34475136          |
| 0.2995        | 0.7509 | 11730 | 0.3648          | 36931648          |
| 0.3367        | 0.8010 | 12512 | 0.3636          | 39382144          |
| 0.272         | 0.8510 | 13294 | 0.3571          | 41847872          |
| 0.3451        | 0.9011 | 14076 | 0.3544          | 44318848          |
| 0.2502        | 0.9512 | 14858 | 0.3537          | 46767552          |


### Framework versions

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