---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-360M-Instruct
tags:
- generated_from_trainer
model-index:
- name: SlimPajama_10k_SmolLM2
  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. -->

# SlimPajama_10k_SmolLM2

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1564

## 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: 0.0002
- train_batch_size: 5
- eval_batch_size: 5
- 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
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.797         | 0.1   | 200  | 7.2221          |
| 7.027         | 0.2   | 400  | 6.8442          |
| 6.8007        | 0.3   | 600  | 6.6666          |
| 6.5956        | 0.4   | 800  | 6.5034          |
| 6.4728        | 0.5   | 1000 | 6.3831          |
| 6.3834        | 0.6   | 1200 | 6.2946          |
| 6.2918        | 0.7   | 1400 | 6.2285          |
| 6.2077        | 0.8   | 1600 | 6.1818          |
| 6.1528        | 0.9   | 1800 | 6.1604          |
| 6.1992        | 1.0   | 2000 | 6.1564          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0