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deberta-v3-smallsed_rte-finetuned-rte – AI Model by ZaaCo | AlphaNeural AI
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deberta-v3-smallsed_rte-finetuned-rte
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transformers
tensorboard
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-small
finetune
mit
autotrain_compatible
endpoints_compatible
us
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deberta-v3-smallsed_rte-finetuned-rte
This model is a fine-tuned version of
microsoft/deberta-v3-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6608
Accuracy: 0.7148
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
156
0.6549
0.6354
No log
2.0
312
0.5761
0.7040
No log
3.0
468
0.6608
0.7148
0.5162
4.0
624
0.9686
0.7076
0.5162
5.0
780
1.1002
0.7040
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
