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STS-Lora-Fine-Tuning-Capstone-Deberta-old-model-pipe – AI Model by rajevan123 | AlphaNeural AI
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STS-Lora-Fine-Tuning-Capstone-Deberta-old-model-pipe
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peft
tensorboard
safetensors
generated_from_trainer
microsoft/deberta-v3-xsmall
adapter
mit
us
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STS-Lora-Fine-Tuning-Capstone-Deberta-old-model-pipe
This model is a fine-tuned version of
microsoft/deberta-v3-xsmall
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7440
Accuracy: 0.2429
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
180
1.7590
0.2429
No log
2.0
360
1.7488
0.2429
1.745
3.0
540
1.7451
0.2429
1.745
4.0
720
1.7440
0.2429
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
