---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- causal-language-model
- generated_from_trainer
model-index:
- name: full_finetuning
  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. -->

# full_finetuning

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: 0.9702

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0076        | 1.0   | 142  | 1.0190          |
| 0.9486        | 2.0   | 284  | 0.9752          |
| 0.8546        | 3.0   | 426  | 0.9600          |
| 0.808         | 4.0   | 568  | 0.9541          |
| 0.7807        | 5.0   | 710  | 0.9538          |
| 0.7284        | 6.0   | 852  | 0.9560          |
| 0.7251        | 7.0   | 994  | 0.9609          |
| 0.6856        | 8.0   | 1136 | 0.9648          |
| 0.6421        | 9.0   | 1278 | 0.9684          |
| 0.6344        | 10.0  | 1420 | 0.9702          |


### Framework versions

- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1