metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-360M
tags:
- generated_from_trainer
datasets:
- kajuma/training_01-09_patch
model-index:
- name: results
results: []
results
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-360M on the kajuma/training_01-09_patch dataset. It achieves the following results on the evaluation set:
- Loss: 0.1002
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: 0.003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_min_lr
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.584 | 0.0878 | 1000 | 0.1139 |
| 3.4937 | 0.1755 | 2000 | 0.1080 |
| 3.3486 | 0.2633 | 3000 | 0.1059 |
| 3.4019 | 0.3511 | 4000 | 0.1044 |
| 3.2915 | 0.4388 | 5000 | 0.1033 |
| 3.2729 | 0.5266 | 6000 | 0.1023 |
| 3.2451 | 0.6144 | 7000 | 0.1015 |
| 3.2339 | 0.7022 | 8000 | 0.1009 |
| 3.2383 | 0.7899 | 9000 | 0.1005 |
| 3.2441 | 0.8777 | 10000 | 0.1003 |
| 3.2744 | 0.9655 | 11000 | 0.1002 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0