metadata

license: mit
library_name: peft
tags:
  - generated_from_trainer
metrics:
  - accuracy
base_model: microsoft/deberta-v3-xsmall
model-index:
  - name: STS-Lora-Fine-Tuning-Capstone-Deberta-old-model-pipe
    results: []

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