---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M-Instruct
tags:
- generated_from_trainer
model-index:
- name: tiny-turn
  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. -->

# tiny-turn

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5122

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.5988        | 0.4819 | 1000  | 1.6036          |
| 1.5668        | 0.9639 | 2000  | 1.5508          |
| 1.5337        | 1.4458 | 3000  | 1.5326          |
| 1.5210        | 1.9277 | 4000  | 1.5227          |
| 1.5078        | 2.4096 | 5000  | 1.5176          |
| 1.5247        | 2.8916 | 6000  | 1.5157          |
| 1.5034        | 3.3735 | 7000  | 1.5140          |
| 1.5273        | 3.8554 | 8000  | 1.5137          |
| 1.5209        | 4.3373 | 9000  | 1.5127          |
| 1.5108        | 4.8193 | 10000 | 1.5123          |
| 1.5134        | 5.3012 | 11000 | 1.5123          |
| 1.5131        | 5.7831 | 12000 | 1.5124          |
| 1.5197        | 6.2651 | 13000 | 1.5122          |
| 1.5254        | 6.7470 | 14000 | 1.5122          |
| 1.5139        | 7.2289 | 15000 | 1.5120          |
| 1.5068        | 7.7108 | 16000 | 1.5122          |
| 1.5128        | 8.1928 | 17000 | 1.5121          |
| 1.5168        | 8.6747 | 18000 | 1.5122          |


### Framework versions

- Transformers 5.5.4
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2