---
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: TinyLlama-1.1B-Chat-SchemaLinking-v1
  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. -->

# TinyLlama-1.1B-Chat-SchemaLinking-v1

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0697

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.3573        | 0.2334 | 250  | 0.1872          |
| 0.1155        | 0.4668 | 500  | 0.1122          |
| 0.079         | 0.7002 | 750  | 0.0828          |
| 0.0672        | 0.9336 | 1000 | 0.0741          |
| 0.0555        | 1.1670 | 1250 | 0.0720          |
| 0.055         | 1.4004 | 1500 | 0.0701          |
| 0.053         | 1.6338 | 1750 | 0.0681          |
| 0.0526        | 1.8672 | 2000 | 0.0664          |
| 0.047         | 2.1006 | 2250 | 0.0647          |
| 0.0406        | 2.3340 | 2500 | 0.0646          |
| 0.0411        | 2.5674 | 2750 | 0.0620          |
| 0.0352        | 2.8010 | 3000 | 0.0660          |
| 0.0337        | 3.0344 | 3250 | 0.0646          |
| 0.0326        | 3.2678 | 3500 | 0.0633          |
| 0.0323        | 3.5012 | 3750 | 0.0625          |
| 0.0321        | 3.7346 | 4000 | 0.0614          |
| 0.0317        | 3.9680 | 4250 | 0.0616          |
| 0.0271        | 4.2014 | 4500 | 0.0676          |
| 0.0258        | 4.4348 | 4750 | 0.0688          |
| 0.0257        | 4.6682 | 5000 | 0.0678          |
| 0.0227        | 4.9019 | 5250 | 0.0697          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1