Model save

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Salesforce/codet5-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6683
+- Accuracy: 0.6808
+- Precision: 0.1013
+- Recall: 0.7748
+- F1 Score: 0.1792
+- F2 Score: 0.3326
+- Gmean: 0.7239
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score | F2 Score | Gmean  |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:--------:|:------:|
+| 0.7092        | 1.0   | 197  | 0.7116          | 0.6391   | 0.0860    | 0.7297 | 0.1538   | 0.2922   | 0.6806 |
+| 0.6241        | 2.0   | 394  | 0.6683          | 0.6808   | 0.1013    | 0.7748 | 0.1792   | 0.3326   | 0.7239 |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.3.1
+- Tokenizers 0.21.0