---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-360M
tags:
- generated_from_trainer
model-index:
- name: finetune-smolLM2-360M
  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. -->

# finetune-smolLM2-360M

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-360M](https://huggingface.co/HuggingFaceTB/SmolLM2-360M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7585

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.7017        | 0.0871 | 50   | 2.8763          |
| 2.6474        | 0.1743 | 100  | 2.8244          |
| 2.5094        | 0.2614 | 150  | 2.8044          |
| 2.6284        | 0.3486 | 200  | 2.7901          |
| 2.7183        | 0.4357 | 250  | 2.7798          |
| 2.6457        | 0.5229 | 300  | 2.7732          |
| 2.7641        | 0.6100 | 350  | 2.7691          |
| 2.6276        | 0.6972 | 400  | 2.7661          |
| 2.7211        | 0.7843 | 450  | 2.7639          |
| 2.6556        | 0.8715 | 500  | 2.7603          |
| 2.7031        | 0.9586 | 550  | 2.7587          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0