---
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_qnli_42_1779286680
  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_qnli_42_1779286680

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 qnli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0523
- Num Input Tokens Seen: 11312256

## 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 |
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
| 0.0929        | 0.0501 | 590   | 0.0807          | 571072            |
| 0.1054        | 0.1001 | 1180  | 0.0708          | 1136384           |
| 0.1201        | 0.1502 | 1770  | 0.0836          | 1703808           |
| 0.1436        | 0.2003 | 2360  | 0.0888          | 2266496           |
| 0.0749        | 0.2503 | 2950  | 0.0761          | 2827328           |
| 0.0141        | 0.3004 | 3540  | 0.0862          | 3399808           |
| 0.0051        | 0.3505 | 4130  | 0.0710          | 3963584           |
| 0.0782        | 0.4005 | 4720  | 0.0551          | 4530304           |
| 0.05          | 0.4506 | 5310  | 0.0634          | 5095424           |
| 0.0293        | 0.5007 | 5900  | 0.0550          | 5660352           |
| 0.0534        | 0.5507 | 6490  | 0.0558          | 6232896           |
| 0.0467        | 0.6008 | 7080  | 0.0598          | 6801984           |
| 0.0404        | 0.6509 | 7670  | 0.0556          | 7363968           |
| 0.0633        | 0.7010 | 8260  | 0.0546          | 7924800           |
| 0.0632        | 0.7510 | 8850  | 0.0540          | 8494720           |
| 0.1023        | 0.8011 | 9440  | 0.0547          | 9066048           |
| 0.0665        | 0.8512 | 10030 | 0.0526          | 9634624           |
| 0.0855        | 0.9012 | 10620 | 0.0523          | 10199424          |
| 0.004         | 0.9513 | 11210 | 0.0523          | 10764096          |


### Framework versions

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