---
library_name: transformers
base_model: kajuma/falcon3_1b_patch
tags:
- generated_from_trainer
datasets:
- kajuma/training_12-23_token
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [kajuma/falcon3_1b_patch](https://huggingface.co/kajuma/falcon3_1b_patch) on the kajuma/training_12-23_token dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2373

## 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: 0.0002
- train_batch_size: 28
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 9
- total_train_batch_size: 252
- optimizer: Use schedule_free_radam with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.014         | 0.0515 | 500  | 2.1112          |
| 1.8567        | 0.1029 | 1000 | 2.2158          |
| 1.8408        | 0.1544 | 1500 | 2.2958          |
| 1.8394        | 0.2059 | 2000 | 2.5333          |
| 1.7843        | 0.2573 | 2500 | 2.5528          |
| 1.7623        | 0.3088 | 3000 | 2.6474          |
| 1.7908        | 0.3603 | 3500 | 2.7576          |
| 1.7743        | 0.4117 | 4000 | 2.8830          |
| 1.7513        | 0.4632 | 4500 | 2.9958          |
| 1.7205        | 0.5147 | 5000 | 3.1096          |
| 1.7321        | 0.5661 | 5500 | 3.2373          |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0