metadata
library_name: peft
license: apache-2.0
base_model: unsloth/SmolLM2-1.7B-Instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: bd66b391-b975-48ac-b2fa-1517e14ff4ad
results: []
bd66b391-b975-48ac-b2fa-1517e14ff4ad
This model is a fine-tuned version of unsloth/SmolLM2-1.7B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5615
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: 0.000206
- 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 | 0.0000 | 1 | 2.5411 |
| 2.031 | 0.0010 | 50 | 2.0144 |
| 1.8963 | 0.0020 | 100 | 1.8420 |
| 1.7379 | 0.0029 | 150 | 1.7665 |
| 1.6386 | 0.0039 | 200 | 1.7132 |
| 1.6857 | 0.0049 | 250 | 1.6582 |
| 1.6102 | 0.0059 | 300 | 1.6215 |
| 1.6331 | 0.0069 | 350 | 1.5961 |
| 1.5731 | 0.0078 | 400 | 1.5721 |
| 1.5927 | 0.0088 | 450 | 1.5630 |
| 1.574 | 0.0098 | 500 | 1.5615 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1