toxicity-scorer-qwen-ct2 – AI Model by tcapelle | AlphaNeural AI

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tcapelle/
toxicity-scorer-qwen-ct2

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text-classification

generated_from_trainer

Qwen/Qwen2.5-0.5B

autotrain_compatible

text-generation-inference

endpoints_compatible

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toxicity-scorer-qwen-ct2

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1188
F1: 0.9551
Accuracy: 0.9568
Precision: 0.9539
Recall: 0.9568

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: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 128
total_eval_batch_size: 128
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	3.7079	0.4868	0.3651	0.8738	0.3651
0.1046	1.0	8816	0.1006	0.9536	0.9576	0.9526	0.9576
0.0733	2.0	17632	0.1023	0.9558	0.9581	0.9545	0.9581
0.0583	3.0	26448	0.1188	0.9551	0.9568	0.9539	0.9568

Framework versions

Transformers 4.46.3
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.3