smollm2-135M_pretrained_200k_fineweb_uncovai_selected
This model is a pre-trained version of HuggingFaceTB/SmolLM2-135M on the first 200k samples from the Fineweb dataset dump CC-MAIN-2024-18 using the UncovAI 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
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