---
base_model: meta-llama/Llama-3.2-1B-Instruct
library_name: peft
license: llama3.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-3.2-1B-Instruct-SchemaLinking-v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-3.2-1B-Instruct-SchemaLinking-v1

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0956

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 14
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3641        | 0.4668 | 500  | 0.1527          |
| 0.1066        | 0.9336 | 1000 | 0.1083          |
| 0.0794        | 1.4004 | 1500 | 0.0963          |
| 0.0739        | 1.8672 | 2000 | 0.0872          |
| 0.058         | 2.3341 | 2500 | 0.0910          |
| 0.057         | 2.8009 | 3000 | 0.0859          |
| 0.0432        | 3.2678 | 3500 | 0.0895          |
| 0.0452        | 3.7346 | 4000 | 0.0890          |
| 0.0406        | 4.2014 | 4500 | 0.0944          |
| 0.0363        | 4.6682 | 5000 | 0.0956          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0