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distilbert-base-uncased-finetuned-mind_category – AI Model by crispytyper | AlphaNeural AI
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crispytyper
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distilbert-base-uncased-finetuned-mind_category
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-mind_category
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7912
Accuracy: 0.7553
F1: 0.7405
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
642
0.8253
0.7426
0.7249
No log
2.0
1284
0.7912
0.7553
0.7405
Framework versions
Transformers 4.17.0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
