---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- generated_from_trainer
model-index:
- name: SmolLM2-NewArgs
  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-NewArgs

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1243

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1837        | 0.16  | 200  | 3.2231          |
| 2.212         | 0.32  | 400  | 3.1906          |
| 2.1925        | 0.48  | 600  | 3.1144          |
| 2.157         | 0.64  | 800  | 3.0551          |
| 2.0288        | 0.8   | 1000 | 3.0355          |
| 1.9743        | 0.96  | 1200 | 2.9745          |
| 1.348         | 1.12  | 1400 | 3.1598          |
| 1.1199        | 1.28  | 1600 | 3.1587          |
| 1.0924        | 1.44  | 1800 | 3.1218          |
| 1.065         | 1.6   | 2000 | 3.1331          |
| 1.053         | 1.76  | 2200 | 3.1213          |
| 1.0264        | 1.92  | 2400 | 3.1243          |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0