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distilbert-base-cased-document-casual – AI Model by devcryptodude | AlphaNeural AI
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devcryptodude
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distilbert-base-cased-document-casual
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-cased-document-casual
This model is a fine-tuned version of
distilbert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2732
F1-score: 0.9033
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1-score
0.1376
0.97
15
0.6716
0.7342
0.0517
2.0
31
0.3222
0.9350
0.0075
2.97
46
0.2732
0.9033
0.0032
4.0
62
0.2932
0.9033
0.0024
4.84
75
0.2914
0.9033
Framework versions
Transformers 4.39.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.2
