---
library_name: peft
license: other
base_model: tiiuae/Falcon3-1B-Instruct
tags:
- base_model:adapter:tiiuae/Falcon3-1B-Instruct
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: Falcon3-1B-Instruct-QLoRa-SentimentAnalysis
  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. -->

# Falcon3-1B-Instruct-QLoRa-SentimentAnalysis

This model is a fine-tuned version of [tiiuae/Falcon3-1B-Instruct](https://huggingface.co/tiiuae/Falcon3-1B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5958

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3609        | 1.0   | 2500  | 0.5001          |
| 0.4603        | 2.0   | 5000  | 0.4975          |
| 0.419         | 3.0   | 7500  | 0.5027          |
| 0.359         | 4.0   | 10000 | 0.5020          |
| 0.5779        | 5.0   | 12500 | 0.5958          |


### Framework versions

- PEFT 0.17.1
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0