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lefabs/
lhf_toxic_not_toxic_text_classifier-distilbert-base-uncased2

Name: lhf_toxic_not_toxic_text_classifier-distilbert-base-uncased2
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generated_from_trainer

distilbert/distilbert-base-uncased

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lhf_toxic_not_toxic_text_classifier-distilbert-base-uncased2

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3597
Accuracy: 0.9528

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: 0.0001
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3091	1.0	192	0.1443	0.9444
0.1274	2.0	384	0.1288	0.9493
0.0851	3.0	576	0.1390	0.9518
0.0418	4.0	768	0.1886	0.9507
0.0208	5.0	960	0.1915	0.9511
0.0117	6.0	1152	0.2497	0.9513
0.008	7.0	1344	0.2502	0.9496
0.0044	8.0	1536	0.3159	0.9520
0.0019	9.0	1728	0.3437	0.9520
0.0008	10.0	1920	0.3597	0.9528

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

lefabs/lhf_toxic_not_toxic_text_classifier-distilbert-base-uncased2

lhf_toxic_not_toxic_text_classifier-distilbert-base-uncased2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lefabs/
lhf_toxic_not_toxic_text_classifier-distilbert-base-uncased2