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deberta-v3-base-finetuned-nlp-course – AI Model by hanspeterlyngsoeraaschoujensen | AlphaNeural AI
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deberta-v3-base-finetuned-nlp-course
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transformers
safetensors
deberta-v2
question-answering
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
endpoints_compatible
us
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deberta-v3-base-finetuned-nlp-course
This model is a fine-tuned version of
microsoft/deberta-v3-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8528
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
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: 8
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
101
2.0420
No log
2.0
202
1.8421
No log
3.0
303
1.6758
No log
4.0
404
1.7467
1.6881
5.0
505
1.7773
1.6881
6.0
606
1.8313
1.6881
7.0
707
1.8225
1.6881
8.0
808
1.8528
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
