---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
model-index:
- name: lemexp-task1-min_symbols_template_small-Llama-3.2-1B-ddp-8lr
  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. -->

# lemexp-task1-min_symbols_template_small-Llama-3.2-1B-ddp-8lr

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1829

## 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: 0.0008
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- 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: linear
- num_epochs: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.5214        | 0.2001  | 629   | 0.4335          |
| 0.4276        | 0.4001  | 1258  | 0.3837          |
| 0.4018        | 0.6002  | 1887  | 0.3794          |
| 0.3694        | 0.8003  | 2516  | 0.3476          |
| 0.3571        | 1.0003  | 3145  | 0.3378          |
| 0.3439        | 1.2004  | 3774  | 0.3320          |
| 0.3375        | 1.4004  | 4403  | 0.3221          |
| 0.3248        | 1.6005  | 5032  | 0.3136          |
| 0.3239        | 1.8006  | 5661  | 0.3059          |
| 0.314         | 2.0006  | 6290  | 0.3100          |
| 0.3125        | 2.2007  | 6919  | 0.3003          |
| 0.304         | 2.4008  | 7548  | 0.3073          |
| 0.2981        | 2.6008  | 8177  | 0.2972          |
| 0.2988        | 2.8009  | 8806  | 0.3002          |
| 0.2925        | 3.0010  | 9435  | 0.2868          |
| 0.2787        | 3.2010  | 10064 | 0.2832          |
| 0.2788        | 3.4011  | 10693 | 0.2771          |
| 0.2776        | 3.6011  | 11322 | 0.2739          |
| 0.2758        | 3.8012  | 11951 | 0.2719          |
| 0.2728        | 4.0013  | 12580 | 0.2646          |
| 0.2606        | 4.2013  | 13209 | 0.2703          |
| 0.258         | 4.4014  | 13838 | 0.2609          |
| 0.2629        | 4.6015  | 14467 | 0.2555          |
| 0.2549        | 4.8015  | 15096 | 0.2519          |
| 0.2529        | 5.0016  | 15725 | 0.2564          |
| 0.2431        | 5.2017  | 16354 | 0.2483          |
| 0.2407        | 5.4017  | 16983 | 0.2475          |
| 0.2413        | 5.6018  | 17612 | 0.2433          |
| 0.2351        | 5.8018  | 18241 | 0.2431          |
| 0.237         | 6.0019  | 18870 | 0.2349          |
| 0.2312        | 6.2020  | 19499 | 0.2361          |
| 0.2217        | 6.4020  | 20128 | 0.2365          |
| 0.2185        | 6.6021  | 20757 | 0.2286          |
| 0.2159        | 6.8022  | 21386 | 0.2309          |
| 0.2216        | 7.0022  | 22015 | 0.2273          |
| 0.2036        | 7.2023  | 22644 | 0.2213          |
| 0.2043        | 7.4024  | 23273 | 0.2214          |
| 0.2023        | 7.6024  | 23902 | 0.2173          |
| 0.2036        | 7.8025  | 24531 | 0.2115          |
| 0.1993        | 8.0025  | 25160 | 0.2124          |
| 0.1869        | 8.2026  | 25789 | 0.2132          |
| 0.1885        | 8.4027  | 26418 | 0.2111          |
| 0.1846        | 8.6027  | 27047 | 0.2063          |
| 0.1841        | 8.8028  | 27676 | 0.2014          |
| 0.1831        | 9.0029  | 28305 | 0.2049          |
| 0.1761        | 9.2029  | 28934 | 0.1969          |
| 0.1673        | 9.4030  | 29563 | 0.2016          |
| 0.1707        | 9.6031  | 30192 | 0.1981          |
| 0.1672        | 9.8031  | 30821 | 0.1970          |
| 0.166         | 10.0032 | 31450 | 0.1949          |
| 0.151         | 10.2032 | 32079 | 0.1918          |
| 0.1509        | 10.4033 | 32708 | 0.1918          |
| 0.1506        | 10.6034 | 33337 | 0.1874          |
| 0.1511        | 10.8034 | 33966 | 0.1856          |
| 0.1454        | 11.0035 | 34595 | 0.1850          |
| 0.1391        | 11.2036 | 35224 | 0.1869          |
| 0.1343        | 11.4036 | 35853 | 0.1834          |
| 0.1333        | 11.6037 | 36482 | 0.1843          |
| 0.1328        | 11.8038 | 37111 | 0.1829          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0