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agnews-distilbert – AI Model by AmirrezaGhasemiNik | AlphaNeural AI
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AmirrezaGhasemiNik
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agnews-distilbert
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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agnews-distilbert
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2961
Accuracy: 0.924
Precision: 0.9244
Recall: 0.924
F1: 0.9241
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: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.216
1.0
1250
0.2758
0.91
0.9114
0.91
0.9099
0.1217
2.0
2500
0.2805
0.9195
0.9207
0.9195
0.9197
0.1281
3.0
3750
0.2961
0.924
0.9244
0.924
0.9241
Framework versions
Transformers 4.44.2
Pytorch 2.11.0+cu128
Datasets 2.20.0
Tokenizers 0.19.1
