metadata
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: []
Falcon3-1B-Instruct-QLoRa-SentimentAnalysis
This model is a fine-tuned version of 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