---
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_rte_42_1774791065
  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_rte_42_1774791065

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 rte dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1407
- Num Input Tokens Seen: 2035272

## 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: 5e-05
- 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 |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 0.2508        | 0.2527 | 71   | 0.1407          | 105024            |
| 0.1769        | 0.5053 | 142  | 0.1558          | 209536            |
| 0.1924        | 0.7580 | 213  | 0.1600          | 312576            |
| 0.1956        | 1.0107 | 284  | 0.1684          | 414040            |
| 0.1589        | 1.2633 | 355  | 0.1601          | 517656            |
| 0.1947        | 1.5160 | 426  | 0.1815          | 624344            |
| 0.1825        | 1.7687 | 497  | 0.1647          | 725656            |
| 0.1568        | 2.0214 | 568  | 0.1555          | 821416            |
| 0.1597        | 2.2740 | 639  | 0.1567          | 926760            |
| 0.1431        | 2.5267 | 710  | 0.1639          | 1025320           |
| 0.1986        | 2.7794 | 781  | 0.1541          | 1128104           |
| 0.137         | 3.0320 | 852  | 0.1852          | 1229440           |
| 0.1422        | 3.2847 | 923  | 0.1646          | 1332544           |
| 0.0911        | 3.5374 | 994  | 0.1804          | 1438336           |
| 0.1203        | 3.7900 | 1065 | 0.1771          | 1539072           |
| 0.0551        | 4.0427 | 1136 | 0.1983          | 1642696           |
| 0.0577        | 4.2954 | 1207 | 0.3402          | 1743624           |
| 0.0319        | 4.5480 | 1278 | 0.3532          | 1849416           |
| 0.0846        | 4.8007 | 1349 | 0.3423          | 1954568           |


### Framework versions

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