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text_classification – AI Model by yaqinlah | AlphaNeural AI
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yaqinlah
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text_classification
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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text_classification
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: 0.5769
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: 5e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.635
1.0
2019
0.6565
0.5526
2.0
4038
0.5769
0.3538
3.0
6057
0.7382
0.074
4.0
8076
0.8316
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Tokenizers 0.19.1
