|
|
--- |
|
|
library_name: peft |
|
|
license: other |
|
|
base_model: tiiuae/Falcon3-1B-Instruct |
|
|
tags: |
|
|
- base_model:adapter:tiiuae/Falcon3-1B-Instruct |
|
|
- transformers |
|
|
pipeline_tag: text-generation |
|
|
model-index: |
|
|
- name: Falcon3-1B-Instruct-tuned |
|
|
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-tuned |
|
|
|
|
|
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: 1.7228 |
|
|
- Perplexity: 5.6001 |
|
|
|
|
|
## Training procedure |
|
|
|
|
|
### Training hyperparameters |
|
|
|
|
|
The following hyperparameters were used during training: |
|
|
- learning_rate: 0.003 |
|
|
- train_batch_size: 12 |
|
|
- eval_batch_size: 12 |
|
|
- seed: 42 |
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 3 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Perplexity | |
|
|
|:-------------:|:------:|:----:|:---------------:|:----------:| |
|
|
| No log | 0 | 0 | 3.5178 | 33.7116 | |
|
|
| No log | 0.6011 | 333 | 1.8889 | 6.6122 | |
|
|
| 1.9189 | 1.2022 | 666 | 1.8092 | 6.1057 | |
|
|
| 1.9189 | 1.8032 | 999 | 1.7672 | 5.8541 | |
|
|
| 1.7617 | 2.4043 | 1332 | 1.7440 | 5.7203 | |
|
|
| 1.7617 | 3 | 1664 | 1.7228 | 5.6001 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.16.0 |
|
|
- Transformers 4.54.1 |
|
|
- Pytorch 2.7.1+cu128 |
|
|
- Datasets 4.0.0 |
|
|
- Tokenizers 0.21.4 |
