metadata
library_name: transformers
base_model: kajuma/falcon3_1b_patch
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
This model is a fine-tuned version of kajuma/falcon3_1b_patch on an unknown 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