metadata
library_name: peft
license: apache-2.0
base_model: unsloth/SmolLM2-1.7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: e296095e-f178-4584-95f8-be73d1020309
results: []
e296095e-f178-4584-95f8-be73d1020309
This model is a fine-tuned version of unsloth/SmolLM2-1.7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1802
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: 0.00021
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0006 | 1 | 1.5136 |
| 1.4222 | 0.0284 | 50 | 1.3551 |
| 1.2446 | 0.0568 | 100 | 1.2824 |
| 1.1682 | 0.0853 | 150 | 1.2520 |
| 1.286 | 0.1137 | 200 | 1.2275 |
| 1.239 | 0.1421 | 250 | 1.2070 |
| 1.3167 | 0.1705 | 300 | 1.1928 |
| 1.2405 | 0.1989 | 350 | 1.1824 |
| 1.2803 | 0.2273 | 400 | 1.1737 |
| 1.3281 | 0.2558 | 450 | 1.1847 |
| 1.2601 | 0.2842 | 500 | 1.1802 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1