---
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_qnli_42_1779207272
  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_1779207272

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: 0.0535
- Num Input Tokens Seen: 56574368

## 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.0827        | 0.25  | 2946  | 0.0783          | 2823680           |
| 0.0452        | 0.5   | 5892  | 0.0612          | 5652800           |
| 0.0473        | 0.75  | 8838  | 0.0545          | 8482944           |
| 0.0346        | 1.0   | 11784 | 0.0535          | 11312256          |
| 0.0299        | 1.25  | 14730 | 0.0764          | 14142784          |
| 0.0363        | 1.5   | 17676 | 0.0833          | 16969472          |
| 0.0084        | 1.75  | 20622 | 0.0826          | 19782400          |
| 0.0205        | 2.0   | 23568 | 0.0846          | 22629440          |
| 0.0001        | 2.25  | 26514 | 0.1074          | 25460032          |
| 0.0001        | 2.5   | 29460 | 0.1115          | 28284608          |
| 0.0001        | 2.75  | 32406 | 0.1112          | 31130432          |
| 0.023         | 3.0   | 35352 | 0.1149          | 33947392          |
| 0.0258        | 3.25  | 38298 | 0.1494          | 36783040          |
| 0.0           | 3.5   | 41244 | 0.1557          | 39604544          |
| 0.0           | 3.75  | 44190 | 0.1553          | 42421440          |
| 0.0           | 4.0   | 47136 | 0.1462          | 45265344          |
| 0.0           | 4.25  | 50082 | 0.1777          | 48098944          |
| 0.0           | 4.5   | 53028 | 0.1760          | 50906176          |
| 0.0           | 4.75  | 55974 | 0.1753          | 53746240          |
| 0.0           | 5.0   | 58920 | 0.1754          | 56574368          |


### Framework versions

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