---
library_name: transformers
license: apache-2.0
base_model: FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_selected
tags:
- generated_from_trainer
model-index:
- name: smollm2-135M_pretrained_400k_fineweb_uncovai_selected
  results: []
datasets:
- UncovAI/fineweb_CC-MAIN-2024-18_100k_output_UncovAI_83362
- HuggingFaceFW/fineweb
language:
- en
---

<!-- 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. -->

# smollm2-135M_pretrained_400k_fineweb_uncovai_selected

This model is a fine-tuned version of [FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_selected](https://huggingface.co/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_selected) on the first 400k samples from the [Fineweb dataset dump CC-MAIN-2024-18](https://huggingface.co/datasets/HuggingFaceFW/fineweb/viewer/CC-MAIN-2024-18) using the [UncovAI](https://uncovai.com/) model for text to remove synthetic labeled data. We observed that more than 16% of the data were detected as having been generated by AI by our model. 

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- 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



### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1