smollm2-135M_pretrained_600k_fineweb_uncovai_selected

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smollm2-135M_pretrained_600k_fineweb_uncovai_selected

This model is a fine-tuned version of FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_selected on the first 600k samples from the Fineweb dataset dump CC-MAIN-2024-18 using the UncovAI model for text to remove synthetic labelled 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