---
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_qqp_42_1779207273
  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_qqp_42_1779207273

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 qqp dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1128
- Num Input Tokens Seen: 137941664

## 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 |
|:-------------:|:------:|:------:|:---------------:|:-----------------:|
| 0.1388        | 0.2500 | 10234  | 0.1504          | 6910656           |
| 0.1021        | 0.5000 | 20468  | 0.1128          | 13780928          |
| 0.0459        | 0.7501 | 30702  | 0.1215          | 20680640          |
| 0.1214        | 1.0001 | 40936  | 0.1224          | 27591776          |
| 0.1395        | 1.2501 | 51170  | 0.1528          | 34492320          |
| 0.0425        | 1.5001 | 61404  | 0.1524          | 41393504          |
| 0.1097        | 1.7501 | 71638  | 0.1231          | 48287456          |
| 0.0019        | 2.0001 | 81872  | 0.1237          | 55178600          |
| 0.0001        | 2.2502 | 92106  | 0.2041          | 62093992          |
| 0.0236        | 2.5002 | 102340 | 0.1835          | 68988456          |
| 0.0008        | 2.7502 | 112574 | 0.2039          | 75874280          |
| 0.0003        | 3.0002 | 122808 | 0.1936          | 82772304          |
| 0.0           | 3.2502 | 133042 | 0.2610          | 89675984          |
| 0.0332        | 3.5003 | 143276 | 0.2494          | 96560720          |
| 0.0           | 3.7503 | 153510 | 0.2414          | 103465808         |
| 0.0           | 4.0003 | 163744 | 0.2473          | 110357352         |
| 0.0           | 4.2503 | 173978 | 0.3375          | 117230952         |
| 0.0           | 4.5003 | 184212 | 0.3128          | 124100264         |
| 0.0727        | 4.7503 | 194446 | 0.3178          | 131030440         |


### Framework versions

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