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---
base_model: meta-llama/Llama-3.2-1B
library_name: peft
license: llama3.2
tags:
- generated_from_trainer
model-index:
- name: Llama-3.2-1B
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. -->
# Llama-3.2-1B
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: 0.2404
## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4565 | 0.05 | 100 | 0.4042 |
| 0.355 | 0.1 | 200 | 0.3224 |
| 0.3004 | 0.15 | 300 | 0.3054 |
| 0.2844 | 0.2 | 400 | 0.2904 |
| 0.2331 | 0.25 | 500 | 0.2829 |
| 0.241 | 0.3 | 600 | 0.2737 |
| 0.3013 | 0.35 | 700 | 0.2682 |
| 0.2619 | 0.4 | 800 | 0.2626 |
| 0.2367 | 0.45 | 900 | 0.2588 |
| 0.2152 | 0.5 | 1000 | 0.2563 |
| 0.2464 | 0.55 | 1100 | 0.2521 |
| 0.2443 | 0.6 | 1200 | 0.2491 |
| 0.2639 | 0.65 | 1300 | 0.2467 |
| 0.2602 | 0.7 | 1400 | 0.2447 |
| 0.291 | 0.75 | 1500 | 0.2434 |
| 0.2524 | 0.8 | 1600 | 0.2419 |
| 0.272 | 0.85 | 1700 | 0.2410 |
| 0.2273 | 0.9 | 1800 | 0.2406 |
| 0.2584 | 0.95 | 1900 | 0.2405 |
| 0.237 | 1.0 | 2000 | 0.2404 |
### Framework versions
- PEFT 0.13.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1 |