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hface_mlops_demo_dbert – AI Model by naga-jay | AlphaNeural AI
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naga-jay
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hface_mlops_demo_dbert
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
njay
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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hface_mlops_demo_dbert
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: 0.4284
Accuracy: 0.8
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
5
0.6335
0.675
0.6036
2.0
10
0.5269
0.725
0.6036
3.0
15
0.4589
0.775
0.3639
4.0
20
0.4284
0.8
Framework versions
Transformers 4.34.0
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1
