End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: bert-base-uncased
+datasets:
+- swag
+metrics:
+- accuracy
+model-index:
+- name: fine-tuned-bert-base-uncased-swag-peft
+  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. -->
+
+# fine-tuned-bert-base-uncased-swag-peft
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the swag dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7296
+- Accuracy: 0.7193
+
+## 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: 1.5e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0301        | 1.0   | 1150 | 0.8275          | 0.6817   |
+| 0.9302        | 2.0   | 2300 | 0.7588          | 0.7089   |
+| 0.898         | 3.0   | 3450 | 0.7368          | 0.7175   |
+| 0.8831        | 4.0   | 4600 | 0.7296          | 0.7193   |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1