toxicity-scorer-smollm2-135m-freeze

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3011
• F1: 0.8565
• Accuracy: 0.8807
• Precision: 0.8558
• Recall: 0.8807

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: 3e-05
• train_batch_size: 36
• eval_batch_size: 36
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 288
• total_eval_batch_size: 288
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy	Precision	Recall
No log	0	0	1.2430	0.5996	0.5195	0.7569	0.5195
0.3157	1.2762	5000	0.3011	0.8562	0.8806	0.8556	0.8806
0.309	2.5523	10000	0.3011	0.8565	0.8807	0.8558	0.8807

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.1
• Datasets 3.1.0
• Tokenizers 0.20.3