Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-issues-128 – AI Model by Chrispfield | AlphaNeural AI
You can deploy this model and start earning money today!
Chrispfield
/
distilbert-base-uncased-issues-128
like
0
transformers
pytorch
distilbert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-issues-128
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: 1.7582
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7
Training results
Training Loss
Epoch
Step
Validation Loss
2.4041
1.0
8
1.8568
2.1982
2.0
16
2.0790
1.7184
3.0
24
1.9246
1.7248
4.0
32
1.8485
1.5016
5.0
40
1.8484
1.4943
6.0
48
1.8691
1.526
7.0
56
1.7582
Framework versions
Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
