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deberta-v3-base-TEST – AI Model by xoyeop | AlphaNeural AI
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deberta-v3-base-TEST
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transformers
pytorch
tensorboard
deberta-v2
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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deberta-v3-base-TEST
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: 0.3559
Precision: 0.9466
Recall: 0.9466
F1: 0.9466
Accuracy: 0.9466
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.3895
1.0
2500
0.3901
0.9180
0.9180
0.9180
0.9180
0.2499
2.0
5000
0.3513
0.9368
0.9368
0.9368
0.9368
0.13
3.0
7500
0.3559
0.9466
0.9466
0.9466
0.9466
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
