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DebertaMLMnc2c – AI Model by Amna100 | AlphaNeural AI
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Amna100
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DebertaMLMnc2c
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transformers
tensorboard
safetensors
deberta
fill-mask
generated_from_trainer
microsoft/deberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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DebertaMLMnc2c
This model is a fine-tuned version of
microsoft/deberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0107
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: 8
eval_batch_size: 8
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
3.7415
1.0
1840
1.9151
2.417
2.0
3680
1.4787
2.1174
3.0
5520
1.1759
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
