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distilbert-base-uncased-finetuned-homedepot – AI Model by Ukhushn | AlphaNeural AI
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Ukhushn
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distilbert-base-uncased-finetuned-homedepot
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transformers
pytorch
tensorboard
distilbert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-homedepot
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: 2.2826
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.9909
1.0
4688
2.5285
2.5495
2.0
9376
2.3476
2.4198
3.0
14064
2.2841
Framework versions
Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1
