metadata
library_name: peft
license: apache-2.0
base_model: unsloth/SmolLM-1.7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: c1eef9af-6bc1-4e0b-be63-97c40bc93592
results: []
c1eef9af-6bc1-4e0b-be63-97c40bc93592
This model is a fine-tuned version of unsloth/SmolLM-1.7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7795
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: 100
- 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 | 0.0001 | 1 | 1.0964 |
| 1.0426 | 0.0031 | 50 | 0.9096 |
| 0.9245 | 0.0061 | 100 | 0.8622 |
| 0.9113 | 0.0092 | 150 | 0.8378 |
| 0.8542 | 0.0122 | 200 | 0.8199 |
| 0.8947 | 0.0153 | 250 | 0.8053 |
| 0.872 | 0.0183 | 300 | 0.7967 |
| 0.8638 | 0.0214 | 350 | 0.7876 |
| 0.819 | 0.0244 | 400 | 0.7825 |
| 0.8681 | 0.0275 | 450 | 0.7797 |
| 0.8238 | 0.0306 | 500 | 0.7795 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1