End of training

README.md

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+---
+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: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# STS-Lora-Fine-Tuning-Capstone-Deberta-old-model-pipe
+
+This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/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

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