toxicity-scorer-smollm2-360m-freeze

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-360M on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7434
• F1: 0.6049
• Accuracy: 0.5261
• Precision: 0.7390
• Recall: 0.5261

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: 1e-06
• train_batch_size: 44
• eval_batch_size: 44
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 352
• total_eval_batch_size: 352
• 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	0.7481	0.6025	0.5231	0.7383	0.5231
0.7489	1.5277	5000	0.7434	0.6049	0.5261	0.7390	0.5261

Framework versions

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