|
|
--- |
|
|
library_name: peft |
|
|
license: apache-2.0 |
|
|
base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct |
|
|
tags: |
|
|
- base_model:adapter:HuggingFaceTB/SmolLM2-1.7B-Instruct |
|
|
- transformers |
|
|
pipeline_tag: text-generation |
|
|
model-index: |
|
|
- name: SmolLM2-1.7B-Instruct-tuned |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# SmolLM2-1.7B-Instruct-tuned |
|
|
|
|
|
This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.4442 |
|
|
- Perplexity: 4.2384 |
|
|
|
|
|
## 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: 12 |
|
|
- eval_batch_size: 12 |
|
|
- seed: 42 |
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 3 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Perplexity | |
|
|
|:-------------:|:------:|:----:|:---------------:|:----------:| |
|
|
| No log | 0 | 0 | 3.1117 | 22.4598 | |
|
|
| No log | 0.6011 | 333 | 1.5821 | 4.8650 | |
|
|
| 1.6345 | 1.2022 | 666 | 1.5242 | 4.5915 | |
|
|
| 1.6345 | 1.8032 | 999 | 1.4899 | 4.4364 | |
|
|
| 1.4894 | 2.4043 | 1332 | 1.4634 | 4.3205 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.16.0 |
|
|
- Transformers 4.54.1 |
|
|
- Pytorch 2.7.1+cu128 |
|
|
- Datasets 4.0.0 |
|
|
- Tokenizers 0.21.4 |
