End of training

README.md

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+---
+license: bsd-3-clause
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: Salesforce/codet5p-770m
+model-index:
+- name: codet5p-770m-lora
+  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. -->
+
+# codet5p-770m-lora
+
+This model is a fine-tuned version of [Salesforce/codet5p-770m](https://huggingface.co/Salesforce/codet5p-770m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1024
+
+## 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: 1e-05
+- train_batch_size: 3
+- eval_batch_size: 3
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 12
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.3504        | 0.9979 | 349  | 0.1097          |
+| 0.1159        | 1.9986 | 699  | 0.1053          |
+| 0.1101        | 2.9993 | 1049 | 0.1035          |
+| 0.1077        | 4.0    | 1399 | 0.1027          |
+| 0.1064        | 4.9893 | 1745 | 0.1024          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1