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distilbert-hatexplain – AI Model by uboza10300 | AlphaNeural AI
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distilbert-hatexplain
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
hatexplain
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert-hatexplain
This model is a fine-tuned version of
distilbert-base-uncased
on the hatexplain dataset. It achieves the following results on the evaluation set:
Loss: 0.8165
Accuracy: 0.6991
Precision: 0.6975
Recall: 0.6991
F1: 0.6979
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.6131
1.0
1923
0.7399
0.6925
0.6877
0.6925
0.6847
0.7386
2.0
3846
0.7254
0.7040
0.7033
0.7040
0.7036
0.6471
3.0
5769
0.8259
0.7019
0.6995
0.7019
0.7005
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu118
Datasets 3.1.0
Tokenizers 0.21.0
